文章列表

[154] Xiaoling Gong, Jian Wang, Qilin Ren, Kai Zhang, El-Sayed M. El-Alfy, Jacek Mandziuk. Embedded Feature Selection Approach based on TSK Fuzzy System with Sparse Rule base for high-Dimensional Classification Problems. Knowledge-Based Systems, Accepted, 2024. (SCI 一区 TOP) >>Fulltext Link

[153] Ziwei Bian, Qin Chang, Jian Wang, Witold Pedrycz, Nikhil R. Pal. Takagi-Sugeno-Kang Fuzzy Systems for High-Dimensional Multi-Label Classification. IEEE Transactions on Fuzzy Systems, In Press, 2024. (SCI 一区 TOP) >>Fulltext Link

[152] Jian Wang, Shujun Wu, Huaqing Zhang, Bin Yuan, Caili Dai, Nikhil R. Pal. Universal Approximation Abilities of a Modular Differentiable Neural Network. IEEE Transactions on Neural Networks and Learning Systems, In Press, 2024. (SCI 一区 TOP) >>Fulltext Link

[151] Junsan Zhang, Hui Gao, Sen Xiao, Jie Zhu, Jian Wang. A Multi-intent-aware recommendation algorithm based on interactive graph convolutional networks. Complex & Intelligent Systems, Accepted, 2024. (SCI 二区) >>Fulltext Link

[150] Huan Zhang, Neeraj Kumar, Sheng Wu, Chunlei Wu, Jian Wang, Peiying Zhang. Anomaly Detection with Memory-augmented Adversarial Autoencoder Networks for Industry 5.0. IEEE Transactions on Consumer Electronics, Accepted, 2024. (SCI 二区) >>Fulltext Link

[149] Fang Liu, Wentao Tao, Jie Yang, Wei Wu, Jian Wang. STNet: A novel spiking neural network combining its own time signal with the spatial signal of an artificial neural network. Frontiers in Neuroscience, In Press, 2024. (SCI 三区) >>FulltextLink

[148] Jialin Wang, Liming Zhang, Kai Zhang, Jian Wang, Jianping Zhou, Wenfeng Peng, Faliang Yin, Chao Zhong, Xia Yan, Piyang Liu, Huaqing Zhang, Yongfei Yang, Hai Sun. Multi-surrogate framework with an adaptive selection mechanism for production optimization. Petroleum Science, Accepted, 2024. (SCI 二区) >>Fulltext Link

[147] Yuxi Lu, Peiying Zhang, Youxiang Duan, Mohsen Guizani, Jian Wang, Shibao Li. Dynamic Scheduling of IoV Edge Cloud Service Functions under NFV: A Multi-agent Reinforcement Learning Approach. IEEE Transactions on Vehicular Technology, 73(4): 5730-5741, 2024. (SCI 二区 TOP) >>Fulltext Link

[146] Yong Wang, Wenzhong Cui, Gai-Ge Wang, Jian Wang, Dunwei Gong. Improving Test Data Generation for MPI Program Path Coverage with FERPSO-IMPR and Surragate-Assisted Models. IEEE Transactions on Software Engineering, 50(3): 495-511, 2024. (SCI 一区 TOP) >>Fulltext Link

[145] Zhaopeng Deng, Shuangyang Han, Zeqi Liu, Jian Wang, Haoran Zhao. Advancing Borehole Imaging: A Classification Database Developed via Adaptive Ring Segmentation. Electronics, 13(6): 1107, 2024. (SCI 三区) >>Fulltext Link

[144] Xuetao Xie, Yi-Fei Pu, Huaqing Zhang, Jacek Mandziuk, El-Sayed M. El-Alfy, Jian Wang. An Interpretable Neural Network for Robustly Determining the Location and Number of Cluster Centers. International Journal of Machine Learning and Cybernetics, 15: 1473-1501, 2024. (SCI 三区) >> Fulltext Link

[143] Jinding Zhang, Xin Guo, Zihao Zhao, Kai Zhang, Xiaopeng Ma, Weifeng Liu, Jian Wang, Chen Liu, Yongfei Yang, Chuanjin Yao, Jun Yao. A Local Parameterization-Based Probabilistic Cooperative Coevolutionary Algorithm for History Matching. Mathematical Geosciences, 56: 303-332, 2024. (SCI 三区) >>Fulltext Link

[142] Junbi Xiao, Xingjian Pan, Jianhang Liu, Jian Wang, Peiying Zhang, Laith Abualigah. Load Balancing Strategy for SDN Multi-controller Clusters Based on Load Prediction. Journal of Supercomputing, 80: 5136-5162, 2024. (SCI 四区) >>Fulltext Link

[141] Peiying Zhang, Ning Chen,  Neeraj Kumar, Laith Abualigah, Mohsen Guizani, Youxiang Duan, Jian Wang, Sheng Wu. Energy Allocation for Vehicle-to-Grid Settings: a Low-Cost Proposal Combining DRL and VNE. IEEE Transactions on Sustainable Computing, 9(1): 75-87, 2024. (SCI 二区) >>Fulltext Link 

[140] Peiying Zhang, Kunkun Yan, Neeraj Kumar, Lizhuang Tan, Mohsen Guizani, Kostromitin Konstantin Igorevich, Jian Wang, Jianyong Zhang. A Service Function Chain Mapping Scheme based on Functional Aggregation in Space-air-ground Integrated Networks, Journal of Network and Computer Applications, 224: 103829, 2024. (SCI 二区) >>Fulltext Link

[139] Qin Chang, Zhen Zhang, Fanyue Wei, Jian Wang, Witold Pedrycz, Nikhil R. Pal. Adaptive Nonstationary Fuzzy Neural Network, Knowledge-Based Systems, 288: 111398, 2024. (SCI 一区 TOP) >>Fulltext Link 

[138] Tingting Pan, Witold Pedrycz, Jie Yang, Jian Wang. An Improved Generative Adversarial Network to Oversample Imbalanced Datasets, Engineering Applications of Artificial Intelligence, 132: 107934,  2024. (SCI 二区 TOP) >>Fulltext Link

[137] Shujun Wu, Jian Wang, Huaying Sun, Kai Zhang, Nikhil R. Pal. Fractional Approximation of Broad Learning System. IEEE Transactions on Cybernetics, 54(2): 811-824, 2024. (SCI 一区 TOP 期刊) >>Fulltext Link 

[136] Yueqi Chen, Witold Pedrycz, Jian Wang, Chao Zhang, Jie Yang. A New Oversampling Method Based on Triangulation of Sample Space. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(2): 774-786, 2024. (SCI 一区 TOP) >>Fulltext Link

[135] Bingjie Zhang, Jian Wang, Chao Zhang, Jie Yang, Tufan Kumbasar, Wei Wu. Zero-order Fuzzy Neural Network with Adaptive Fuzzy Partition and Its Applications on High-dimensional Problems. Neurocomputing, 569: 127118, 2024. (SCI 二区 TOP) >>Fulltext Link

[134] Feng Lin, Huaqing Zhang, Jian Wang, Jun Wang. Unsupervised Image Enhancement Under Non-Uniform Illumination Based on Paired CNNs. Neural Networks, 170: 202-214, 2024. (SCI 一区 TOP) >>Fulltext Link

[133] Bingjie Zhang, Jian Wang, Xiaoling Gong, Zhanglei Shi, Chao Zhang, Kai Zhang, El-Sayed M. El-Alfy, Sergey V. Ablameyko. First-Order Sparse TSK Nonstationary Fuzzy Neural Network Based on the Mean Shift Algorithm and the Group Lasso Regularization, Mathematics, 12(1): 120, 2024. (SCI 三区) >>Fulltext Link

[132] Xuchao Gong, Hongjie Duan, Yaozhong Yang, Lizhuang Tan, Jian Wang, Athanasios V. Vasilakos. Improving Audio Classification Method by Combining Self-Supervision with Knowledge Distillation, Electronics, 13(1): 52, 2024. (SCI 三区) >>Fulltext Link

[131] Peiying Zhang, Zhihu Luo, Neeraj Kumar, Mohsen Guizani, Hongxia Zhang, Jian Wang. CE-VNE: Constraint Escalation Virtual Network Embedding Algorithm assited by Graph Convolutional Networks. Journal of Network and Computer Applications, 221: 103726, 2024. (SCI 二区) >>Fulltext Link

[130] Guangdong Xue, Jian Wang, Kai Zhang, Nikhil R. Pal. High-Dimensional Fuzzy Inference Systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(1): 507-519, 2024. (SCI 一区 TOP) >>Fulltext Link

[129] Xiangyu Su, Amr Tolba, Yuxi Lu, Lizhuang Tan, Jian Wang, Peiying Zhang. An Attention Mechanism-based Microservice Placement Scheme for On-star Edge Computing Nodes. IEEE Access, 11: 114341-114351, 2023. (SCI 三区) >>Fulltext Link

[128] Zhang-Lei Shi, Xiaopeng Li, Weiguo Li, Tongjiang Yan, Jian Wang, Yaru Fu. Robust Low-Rank Matrix Recovery as Mixed Integer Programming via $\ell_0$ Optimization. IEEE Signal Processing Letters, 30: 1012-1016, 2023. (SCI 二区) >>Fulltext Link

[127] Yanzi Feng, Jian Wang, Peng Ren. Mutually Guided Dentritic Neural Models, ICONIP 2023, Changsha, China, November 20-23, 2023, Lecture Notes in Computer Science, 14447:465-475, 2023. (EI) >>Fulltext Link

[126] Xiaofeng Xue, Xiaoling Gong, Jacek Mandziuk, Jun Yao, El-Sayed M. El-Alfy, Jian Wang. Theory-guided Convolutional Neural Network with an Enhanced Water Flow Optimizer, ICONIP 2023, Changsha, China, November 20-23, 2023, Lecture Notes in Computer Science, 14447: 448-461, 2023. (EI) >>Fulltext Link

[125] Xiaohan Liu, Tong Gao, Li Li, Cong Xiao, Xiaocong Lv, Bin Yuan, Caili Dai, Jian Wang, Sergey Ablameyko. ConvNeXt block-based Deep Learning Surrogate Model for Polymer-Flooding Reservoir Simulation. International Conference on New Trends in Computational Intelligence, Qingdao, China, November 3-5, pp.248-253, 2023. (EI) >>Fulltext Link

[124] Xudong Jin, Tong Gao, Li Li, Cong Xiao, Xiaocong Lv, Jian Wang, Sergey Ablameyko. An Enhanced Water Flow Optimizer Incorporating Adaptive Weights and Search Step Sizes. International Conference on New Trends in Computational Intelligence, Qingdao, China, November 3-5, pp. 280-285, 2023. (EI) >>Fulltext Link

[123] Jiaqi Yan, Li Li, Tao Jin, Jian Wang. A UI Layout Generation Method based on Shared Feature Extraction. International Conference on New Trends in Computational Intelligence, Qingdao, China, November 3-5, pp. 286-292, 2023. (EI) >>Fulltext Link 

[122] Jialin Wang, Kai Zhang, Liming Zhang, Jian Wang, Wenfen Peng, Xia Yan, Haochen Wang, Huaqing Zhang, Yongfei Yang, Hai Sun, Piyang Liu, Haichuan Chen, Xiaokun Fang. Adaptive Basis Function Selection Enhanced Multi-Surrogate-Assisted Evolutionary Algorithm for Production Optimization. SPE Journal, 28(06): 3192-3209, 2023. (SCI 三区) >>Fulltext Link

[121] Xu Chen, Kai Zhang, Zhenning Ji, Xiaoli Shen, Piyang Liu, Liming Zhang, Jian Wang, Jun Yao. Progress and Challenges of Integrated Machine Learning and Traditional Numerical Algorithms: Taking Reservoir Numerical Simulations as an Example. Mathematics, 11(21): 4418, 2023. (SCI 三区) >>Fulltext Link

[120] Guangdong Xue, Jian Wang, Bin Yuan, Caili Dai. DG-ALETSK: A High-Dimensional Fuzzy Approach with Simultaneous Feature Selection and Rule Extraction. IEEE Transactions on Fuzzy Systems, 31(11): 3866-3880, 2023. (SCI 一区TOP期刊) >>Fulltext Link

[119] Tao Gao, Chen Wang, Jin Zheng, Guoqiang Wu, Xin Ning, Xiao Bai, Jun Yang, Jian Wang. A Smoothing Group Lasso based Interval Type-2 Fuzzy Neural Network for Simultaneous Feature Selection and System Identification. Knowledge-Based Systems, 280: 111028, 2023. (SCI 一区 TOP) >>Fulltext Link

[118] Faliang Yin, Weiguo Li, Kai Zhang, Jian Wang, Nikhil R. Pal. Pseudo Inverse versus Iterated Projection: Novel Learning Approach and its Application on Broad Learning System. Information Sciences, 649: 119648, 2023. (SCI 一区 TOP) >>Fulltext Link

[117] Xiaoling Gong, Ziheng Rong, Jian Wang, Kai Zhang, Shengxiang Yang. A Hybrid Algorithm Based on State-Adaptive Slime Mold Model and Fractional-Order Ant System for the Travelling Salesman Problem. Complex & Intelligent Systems, 9: 3951-3970, 2023. (SCI 二区) >>Fulltext Link

[116] Guangdong Xue, Jian Wang, Bingjie Zhang, Bin Yuan, Caili Dai. Double Groups of Gates based Takagi-Sugeno-Kang (DG-TSK) Fuzzy System for Simultaneous Feature Selection and Rule Extraction, Fuzzy Sets and Systems, 469: 108627, 2023. (SCI 二区 TOP 期刊) >>Fulltext Link

[115] Guangdong Xue, Qin Chang, Jian Wang, Kai Zhang, Nikhil R. Pal. An Adaptive Neuro-Fuzzy System with Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems. IEEE Transactions on Fuzzy Systems, 31(7): 2167-2181, 2023.(SCI 一区 TOP 期刊) >>Fulltext Link

[114] Junsan Zhang, Li Zhao, Hongzhao Jiang, Shigen Shen, Jian Wang, Peiying Zhang, Wei Zhang, Leiquan Wang. Hyperspectral Image Classification Based on Dense Pyramidal Convolution and Multi-Feature Fusion, Remote Sensing, 15(12): 2990, 2023. (SCI 二区 TOP 期刊) >>Fulltext Link

[113] Hongxia Zhang, Shiyu Xi, Hongzhao Jiang, Qi Shen, Bodong Shang, Jian Wang. Resource Allocation and Offloading Strategy for UAV-Assited LEO Statellite Edge Computing, Drones, 7(6): 383, 2023. (SCI 二区) >>Fulltext Link

[112] Bing Shen, Jiajia Chen, Guanjun Xu, Qiushi Chen, Jian Wang. Performance Analysis of a Drone-Assisted FSO Communication System Over Malaga Turbulence under AoA Fluctuations, Drones, 7(6): 374, 2023. (SCI 二区) >>Fulltext Link

[111] Shuai Yan, Peiying Zhang, Siyu Huang, Jian Wang, Hao Sun, Yi Zhang. Node Selection Algorithm for Federated Learning Based on Deep Reinforcement Learning for Edge Computing in IoT. Electronics, 12(11): 2478, 2023. (SCI 三区) >>Fulltext Link

[110] Junsan Zhang, Yeqi Feng, Chao Wang, Mingwen Shao, Yujie Jiang, Jian Wang. Multi-Domain Clustering Pruning: Exploring Space and Frequency Similarity Based on GAN. Neurocomputing, 542: 126279, 2023. (SCI 二区) >>Fulltext Link

[109] Hao Wang, Shixin Sun, Xiao Bai, Jian Wang, Peng Ren. A Reinforcement Learning Paradigm of Configuring Visual Enhancement for Object Detection in Underwater Scenes. IEEE Journal of Oceanic Engineering, 48(2): 443-461, 2023. (SCI 二区) >>Fulltext Link

[108] Junsan Zhang, Xiaomin Wang, Yao Wan, Leiquan Wang, Jian Wang, Philip S. Yu. SOR-TC: Self-Attentive Octave ResNet with Temporal Consistency for Compressed Video Action Recognition. Neurocomputing, 533: 191-205, 2023. (SCI 二区) >>Fulltext Link

[107] Yunqi Jiang, Wenjuan Shen, Huaqing Zhang, Kai Zhang, Jian Wang, Liming Zhang. An Interpretable Recurrent Neural Network for Waterflooding Reservoir Flow Disequilibrium Analysis. Water, 15(4): 623, 2023. (SCI 三区) >>Fulltext Link

[106] Qinyang Dai, Liming Zhang, Kai Zhang, Guodong Chen, Xiaopeng Ma, Jian Wang, Huaqing Zhang, Xia Yan, Piyang Liu, Yongfei Yang. An efficient infill well placement optimization approach for extra-low permeability reservoir. Journal of Energy Resources Technology, 145(3): 033001, 2023.(SCI 三区) >>Fulltext Link

[105] Yunqi Jiang, Huaqing Zhang, Kai Zhang, Jian Wang, Jianfa Han, Shiti Cui, Liming Zhang, Hanjun Zhao, Piyang Liu, Honglin Song. Waterflooding Interwell Connectivity Characterization and Productivity Forecast with Physical Knowledge Fusionn and Model Structure Transfer. Water, 15(2): 218, 2023. (SCI 三区) >>Fulltext Link

[104] Xuetao Xie, Yi-Fei Pu, Jian Wang. A Fractional Gradient Descent Algorithm Robust to the Initial Weights of Multilayer Perceptron. Neural Networks, 158: 154-170, 2023. (SCI 一区 TOP 期刊) >>Fulltext Link

[103] Xuetao Xie, Zhiping Li, Yi-Fei Pu, Jian Wang, Weihua Zhang, Yang Wen. A Fractional Filter Based on Reinforcement Learning for Effective Tracking Under Impulsive Noise, Neurocomputing, 516: 155-168, 2023.(SCI 二区) >>Fulltext Link

[102] Kai Zhang, Hai-Qun Yu, Xiao-Peng Ma, Jin-Ding Zhang, Jian Wang, Chuan-Jin Yao, Yong-Fei Yang, Hai Sun, Jun Yao, Jian Wang. Multi-source information fused generative adversarial network model and data assimulation based history matching for reservoir with complex geologies, Petroleum Science, 19(2): 707-719, 2022. (SCI 二区)>>Fulltext Link

[101] Jiamin Li, Xiangyu Wang, Guangdong Xue, Huaqing Zhang, Jian Wang. Sparse Broad Learning System via a Novel Competitive Swarm Optimizer. IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), pp. 1697-1701, Beijing, China, October 3-5, 2022. >>Fulltext Link

[100] Haochen Wang, Kai Zhang, Xingliang Deng, Shiti Cui, Xiaopeng Ma, Zhongzheng Wang, Ji Qi, Jian Wang, Chuanjin Yao, Liming Zhang, Yongfei Yang, Huaqing Zhang. Highly Accurate Oil Production Forecasting under Adjustable Policy by a Physical Approximation Network. Energy Reports, 8: 14396-14415, 2022. (SCI 二区) >>Fulltext Link

[99] Qilin Ren, Guangdong Xue, Xiaoling Gong, Jian Wang. A Novel Fuzzy Rule Based Neuro-system with Sparse Rule Extraction for Classification Problems, 2022 12th International Conference on Information Science and Technology (ICIST), pp. 356-361, Kaifeng, China, October 14-16, 2022. (EI) >>Fulltext Link

[98] Guangdong Xue, Bingjie Zhang, Xiaoling Gong, Jian Wang. Bagging-AdaTSK: An Ensamble Fuzzy Classifier for High-Dimensional Data. Intelligent Computing Methodologies. International Conference on Intelligence Computing (ICIC 2022),  Lecture Notes in Computer Science, 13395: 32-43, Xi'an, China, August 7-11, 2022. (EI) >>Fulltext Link

[97] Huaqing Zhang, Yunqi Jiang, Jian Wang, Kai Zhang, Nikhil R. Pal. An Interpretable Neural Network and Its Application in Inferring Inter-well Connectivity. 2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML), pp. 487-491, Hangzhou, China, March 25-27, 2022. (EI) >>Fulltext Link

[96] Guodong Chen, Kai Zhang, Xiaoming Xue, Liming Zhang, Chuanjin Yao, Jian Wang, Jun Yao. A Radial Basis Function Surrogate Model Assisted Evolutionary Algorithm for High-dimensional Expensive Optimization Problems. Applied Soft Computing, 116: 108353, 2022. (SCI 二区) >>Fulltext Link

[95] Kai Zhang, Yuande Zuo, Hanjun Zhao, Xiaopeng Ma, Jianwei Gu, Jian Wang, Yongfei Yang, Chuanjin Yao, Jun Yao. Fourier Neural Operator for Solving Subsurface Oil-water Two-phase Flow Partial Differential Equation. SPE Journal, 27(3), 1815-1830, 2022. (SCI 三区 TOP 期刊)>>Fulltext Link 

[94] Xiaopeng Ma, Kai Zhang, Jian Wang, Chuanjin Yao, Yongfei Yao, Hai Sun, Jun Yao. An Efficient Spatial-temporal Convolution Recurrent Neural Network Surrogate Model for History Matching. SPE Journal, 27(2): 1160-1175, 2022. (SCI 三区 TOP 期刊) >>Fulltext Link  

[93] Xiangyu Wang,  Kai Zhang, Jian Wang*, Yaochu Jin*. An Enhanced Competitive Swarm Optimizer with Strongly Convex Sparse Operator for Large-Scale Multi-Objective Optimization. IEEE Transactions on Evolutionary Computation, 26(5): 859-871, 2022. (SCI 一区 TOP 期刊) >>Fulltext Link

[92] Xiaoming Xue, Kai Zhang, Kay Chen Tan, Liang Feng, Jian Wang, Guodong Chen, Xinggang Zhao, Liming Zhang, Jun Yao. Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems. IEEE Transactions on Cybernetics, 52(7): 6217-6231, 2022. (SCI 一区 TOP 期刊 )  >>Fulltext Link

[91] Tao Gao, Xiao Bai, Chen Wang, Liang Zhang, Jin Zheng, Jian Wang. A Modified Interval Type-2 Takagi-Sugeno Fuzzy Neural Networks and Its Convergence Analysis. Pattern Recognition131: 108861, 2022. (SCI 一区 TOP 期刊) >>Fulltext Link

[90] Huaqing Zhang, Yunqi Jiang, Jian Wang, Kai Zhang, Nikhil R. Pal. Bilateral Sensitivity Analysis: A Better Understanding of a Neural Network and Its Application to Reservoir Engineering. International Journal of Machine Learning and Cybernetics, 13, 2135-2152, 2022. (SCI 三区) >>Fulltext Link

[89] Bingjie Zhang, Xiaoling Gong, Jian Wang, Fengzhen Tang, Kai Zhang, Wei Wu. Nonstationary Fuzzy Neural Network Based on FCMnet Clustering and a Modified CG Method with Armijo-type Rule. Information Sciences, 608: 313-338, 2022. (SCI 一区 TOP 期刊) >>Fulltext Link

[88] Xiangyu Wang, Bingran Zhang, Jian Wang, Kai Zhang, Yaochu Jin. A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Trunction Operator for Multi-Objective Optimization. Swarm and Evolutionary Computation, 71: 101083, 2022. (SCI 一区 TOP 期刊) >>Fulltext Link

[87] Yunqi Jiang, Huaqing Zhang, Kai Zhang, Jian Wang, Shiti Cui, Jianfa Han, Liming Zhang, Jun Yao. Reservoir Characterization and Productivity Forecast Based on Knowledge Interaction Neural Network. Mathematics, 10(9), 1614, 2022. (SCI 二区) >>Fulltext Link

[86] Xiaopeng Ma, Kai Zhang, Hanjun Zhao, Liming Zhang, Jian Wang, Huaqing Zhang, Piyang Liu, Xia Yan, Yongfei Yang. A vector-to-sequence based multilayer recurrent network surrogate model for history matching of large-scale reservoir. Journal of Petroleum Science and Engineering, 214: 110548, 2022. (SCI 二区 TOP 期刊) >>Fulltext Link

[85] Yi-Fei Pu, Xuetao Xie, Jinde Cao, Hua Chen, Kai Zhang, Jian Wang*. An Input Weights Dependent Complex-Valued Learning Algorithm Based on Wirtinger Calculus. IEEE Transactions on Systems, Man and Cybernetics: Systems, 52(5): 2920-2932, 2022. (SCI 一区 TOP 期刊)  >>Fulltext Link

[84] Xiaoling Gong, Ling Yu, Jian Wang, Kai Zhang, Xiao Bai, Nikhil R. Pal. Unsupervised Feature Selection via Adaptive Autoencoder with Redundancy Control. Neural Networks, 150: 87-101, 2022. (SCI 一区 TOP 期刊) >>Fulltext Link

[83] Xuetao Xie, Yifei Pu, Lei Li, Jian Wang. An Enhanced Fractional Least Mean Square Filter Encountering the Specific Unknown System Vector. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(3): 1912-1916,  2022. (SCI 二区) >>Fulltext Link

[82] Jian Wang, Xue Pang, Faliang Yin, Jun Yao. A Deep Neural Network Method for Solving Partial Differential Equations with Complex Boundary in Goundwater Seepage. Journal of Petroleum Science and Engineering, 209: 109880, 2022. (SCI 二区 TOP 期刊) >>Fulltext Link

[81] Kai Zhang, Zhongzheng Wang, Guodong Chen, Liming Zhang, Yongfei Yang, Chuanjin Yao, Jian Wang, Jun Yao. Training effective deep reinforcement learning agents for real-time life-cycle production optimization. Journal of Petroleum Science and Engineering, 208: Part E, 109766, 2022. (SCI 二区 TOP 期刊) >>Fulltext Link

[80] Xiaopeng Ma, Kai Zhang, Jinding Zhang, Yanzhong Wang, Liming Zhang, Piyang Liu, Yongfei Yang, Jian Wang. A Novel Hybrid Recurrent Convolutional Network for Surrogate Modeling of History matching and Uncertainty Quantification. Journal of Petroleum Science and Engineering, 210: 110109, 2022. (SCI 二区 TOP 期刊) >>Fulltext Link

[79] Xiaopeng Ma, Kai Zhang, Liming Zhang, Haocheng Wang, Jian Wang, Jun Yao. A Distributed Surrogate System Assitied Differential Evolutionary for Computationally Expensive History Matching Problems. Journal of Petroleum Science and Engineering, 210: 110029, 2022. (SCI 三区 TOP 期刊)  >>Fulltext Link

[78] Yi-Fei Pu, Patrick Siarry, Wu-Yang Zhu, Jian Wang, Ni Zhang. Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach. Swarm and Evolutionary Computation, 69: 101014, 2022. (SCI 一区 TOP 期刊) >>Fulltext Link

[77] Jian Wang, Qin Chang, Tao Gao, Kai Zhang, Nikhil R. Pal. Sensitivity Analysis of Takagi-Sugeno Fuzzy Neural Network. Information Sciences, 582: 725-749, 2022. (SCI 一区 TOP 期刊) >>Fulltext Link

[76] Kai Zhang, Xiaoya Wang, Xiaopeng Ma, Jian Wang, Yongfei Yang, Liming Zhang, Jun Yao, Jian Wang. The prediction of reservoir production based proxy model considering spatial data and vector data. Journal of Petroleum Science and Engineering, 208, Part D, 109694, 2022. (SCI 二区 TOP 期刊) >>Fulltext Link

[75] Chao Zhang, Kai Zhang, Xiaoming Xue, Ji Qi, Liming Zhang, Chuanjin Yao, Yongfei Yang, Jian Wang, Jun Yao, Weidong Zhang. Surrogate-reformulation-assisted multitasking knowledge transfer for productionn optimization. Journal of Petroleum Science and Engineering, 208, Part C, 109486, 2022. (SCI 二区 TOP 期刊)  >>Fulltext Link

[74] Tao Gao, Xiao Bai, Liang Zhang, Chen Wang, Jian Wang. Redundancy-Controlled Feature Selection for Fuzzy Neural Networks. International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), pp. 172-176, December 5-7, Macau, China, 2021. (EI) >>Fulltext Link

[73] Tao Gao, Xiao Bai, Liang Zhang, Jian Wang. Feature Selection for Fuzzy Neural Networks using Group Lasso Regularization. IEEE Symposium Series on Computational Intelligence (SSCI), pp: 1-8, December 4-7, Orlando, Florida, USA, 2021. (EI) >>Fulltext Link 

[72] Qiang Zhang, Feiqi Fu, Kai Zhang, Feng Lin, Jian Wang. Zero-Reference Fractional-Order Low-Light Image Enhancement Based on Retinex Theory. IEEE Symposium Series on Computational Intelligence (SSCI), December 5-7, Florida, USA, pp: 1-6, 2021. (EI) >>Fulltext Link

[71] Huaying Sun, Shujun Wu, Guangdong Xue, Kai Zhang, Jian Wang. Broad Learning System with Particle Swarm Optimization and Sigular Value Decomposition. The 11th International Conference on Intelligent Control and Information Processing (ICICP),  December 3-7, Dali, Yunan, China, pp. 255-262, 2021. (EI) >>Fulltext Link

[70] Yunqi Jiang, Huaqing Zhang, Jian Wang, Kai Zhang, Nikhil R. Pal. Constraint Interpretable Double Parallel Neural Network and Its Applications in the Petroleum Industry.The 17th International Conference on Intelligent Computing (ICIC), August 12-15, ShenZhen, China, 12836: 415-423, 2021. (EI)>>Fulltext Link

[69] Ziheng Rong, Xiaoling Gong, Xiangyu Wang, Wei Lv, Jian Wang. A Slime Mold Fractional-order Ant Colony Optimization Algorithm for Travelling Salesman Problems. The 12th International Conference on Swarm Intelligence (ICSI), vol. 12689, pp. 322-332, July 17-21, Qingdao, China, 2021. (EI) >>Fulltext Link

[68] Xue Pang, Jian Wang, Faliang Yin, Jun Yao. Construction of Elliptic Stochastic Partial Differential Equations Solver in Goundwater Flow with Convolutional Neural Networks. Journal of Physics: Conference Series (JPCS), July 3-4, Dalian, China, 2083: 042064, 2021. (EI) >>Fulltext Link

[67] Kai Zhang, Jinding Zhang, Xiaopeng Ma, Chuanjin Yao, Liming Zhang, Yongfei Yang, Jian Wang, Jun Yao, Hui Zhao. History Matching of Naturally Fractured Reservoirs Using a Deep Sparse Autoencoder. SPE Journal, 26(04): 1700-1721, 2021. (SCI 三区 TOP 期刊) >>Fulltext Link 

[66] Kai Zhang, Yanzhong Wang, Guoxin Li, Xiaopeng Ma, Shiti Cui, Qin Luo, Jian Wang, Yongfei Yang, Jun Yao. Prediction of Field Saturations Using a Fully Convolutional Network Surragate. SPE Journal, 26(04): 1824-1836, 2021. (SCI 三区TOP 期刊) >>Fulltext Link

[65] Faliang Yin, Xiaoming Xue, Chengze Zhang, Kai Zhang, Jianfa Han, BingXuan Liu, Jian Wang, Jun Yao. Multifidelity Genetic Transfer: an Efficient Framework for Production Optimization. SPE Journal, 26(04): 1614-1635, 2021. (SCI 三区 TOP 期刊)  >>Fulltext Link

[64] Huaqing Zhang, Yi-Fei Pu, Xuetao Xie*, Bingran Zhang, Jian Wang*, Tingwen Huang. A global neural network learning machine: Coupled integer and fractional calculus operator with an adaptive learning scheme. Neural Networks, 143: 386-399, 2021 (SCI 二区期刊) >>Fulltex Link

[63] Kai Zhang*, Xinggang Zhao, Guodong Chen, Mengjie Zhao, Jian Wang*, Chuanjin Yao, Hai Sun, Jun Yao, Wei Wang, Guodong Zhang. A double-model differential evolution for constrained waterflooding production optimization. Journal of Petroleum Science and Engineering, 207: 109059, 2021. (SCI 二区 TOP 期刊)  >>Fulltext Link

[62] Jun Yao, Yandon Nie, Zihao Zhao, Xiaoming Xue, Kai Zhang, Chuanjin Yao, Liming Zhang, Jian Wang, and Yongfei Yang. Self-adaptive Multifactorial Evolutionary Algorithm for Multitasking Production Optimization. Journal of Petroleum Science and Engineering, 205:108900, 2021. (SCI 二区 TOP 期刊) >>Fulltext Link

[61] Xiaopeng Ma, Kai Zhang, Liming Zhang, Chuanjin Yao, Jun Yao, Haochen Wang, Jian Wang, YongfeiYang. Data-driven Niching Differential Evolution with Adaptive Parameters Control for History Matching and Uncertainty Quantification. SPE Journal, 26(2): 993-1010, 2021. (SCI 三区 TOP 期刊)  >>Fulltext Link

[60] Long Li, Xuetao Xie, Tao Gao, Jian Wang*. A Modified Conjugate Gradient-based Elman Neural Network. Cognitive Systems Research, 68: 62-72, 2021.  (SCI 四区) >>Fulltext Link

[59] Jian Wang, Huaqing Zhang, Junze Wang, Yi-Fei PU*, Nikhil R. Pal. Feature Selection using a Neural Network With Group Lasso Regularization and Controlled Redundancy. IEEE Transactions on Neural Networks and Learning Systems, 32(3): 1110-1123, 2021. (SCI 一区TOP 期刊) >> Fulltext Link

[58] Xiangyu Wang, Jian Wang, Kai Zhang, Feng Lin*, Qin Chang*. Convergence and Objective Functions of Noise-Injected Multilayer Perceptrons with Hidden Multipliers. Neurocomputing, 452: 796-812,  2021. (SCI>> Fulltext Link

[57] Yi-Fei Pu, Ni Zhang, Zheng-Ning Wang, Jian Wang*, Zhang Yi, Yan Wang, Ji-Liu Zhou. Fractional-Order Retinex for Adaptive Contrast Enhancement of Under-Exposed Traffic Images.  IEEE Intelligent Transportation Systems Magazine, 13(1): 149-159, 2021. (SCI 三>> Fulltext Link

[56] Guodong Chen, Yong Li, Kai Zhang, Xiaoming Xue, Jian Wang, Qin Luo, Chuanjin Yao, Jun Yao. Efficient hierarchical surrogate-assisted differential evolution for high-dimensional expensive optimization. Information Sciences, 542: 228-246, 2021. (SCI 一区:计算机科学) >> Fulltext Link

[55] Xiaopeng Ma, Kai Zhang*, Chuanjin Yao, Liming Zhang, Jian Wang, Yongfei Yang, Jun Yao. Multiscale-Network Structure Inversion of Fractured Media Based on a Hierachical Parameterization and Data-driven Evolutionary-Optimization Method. SPE Journal, 25(05): 2729-2748, 2020. (SCI 三区 TOP 期刊)  >>Fulltext Link

[54] Yi-Fei Pu*, Jian Wang*. Fractional-order Global Optimal BackPropagation Machine Trained by Improved Fractional-order Steepest Descent Method. Frontiers of Information Technology & Electronic Engigeering, 21(6): 809-833, 2020. (SCI >> Fulltext Link

[53] Xinggang Zhao, Kai Zhang*, Liming Zhang, Guodong Chen, Xiaoming Xue, Chuanjin Yao, Jian Wang, Yongfei Yang, Jun Yao. Surrogate-assisted differential evolution for production optimization with nonlinear state constraints. Journal of Petroleum Science and Engineering, 194: 1-17, 2020. (SCI 三区)  >>Fulltext Link

[52] Xiaoming Xue, Kai Zhang, Rupeng Li, Liming Zhang, Chuanjin Yao, Jian Wang, Jun Yao. A toplogy-based single-pool decomposition framework for large-scale global optimization. Applied Soft Computing, 92: 1-16, 106295, 2020. (SCI 二区) >>Fulltext Link

[51]  Jian Wang, Bingjie Zhang, Zhaoyang Sang*, Yusong Liu, Shujun Wu, Quan Miao. Convergence of a modified gradient-based learning algorithm with penalty for single-hidden-layer feed-forward networks. Neural Computing and Applications, 32: 2445-2456, 2020. (SCI 二区) >> Fulltext Link

[50] Huaqing Zhang, Jian Wang*, Zhanquan Sun, Jacek M. Zurada, and Nikhil R. Pal. Feature Selection for Neural Networks Using Group Lasso Regularization. IEEE Transactions on Knowledge and Data Engineering, 32(4):659-673, 2020. (SCI 二区>> Fulltext Link

[49] Tao Gao, Xiaoling Gong, Kai Zhang*, Feng Lin, Jian Wang*, Tingwen Huang, Jacek M. Zurada. A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis. Information Sciences, 519: 273-288, 2020. (SCI 一区:算机科学) >> Fulltext Link 

[48] Xuetao Xie, Huaqing Zhang, Junze Wang, Qin Chang, Jian Wang*, Nikhil R. Pal. Learning optimized structure of neural networks by hidden node pruning with L1 regularization. IEEE Transactions on Cybernetics, 50(3): 1333-1346, 2020. (SCI>> Fulltext Link

[47] Zhanquan Sun, Feng Li, Huifen Huang, Jian Wang. Image steganalysis based on convolutional neural network and feature selection. Concurrency and Computation: Practice and Experience, 32:e5469, 2020. (SCI 四区>> Fulltext Link

[46] Hao Zhang, Kai Zhang*, Liming Zhang, James Sheng, Jun Yao, Jian Wang, Yongfei Yang. Construction and optimization of adaptive well pattern based on reservoir anisotropy and uncertainty. Journal of Petroleum Science and Engineering, 181: 1-19, 2019. (SCI二区>> Fulltext Link

[45] Xiaoling Gong, Ziheng Rong, Tao Gao, Yifei Pu, Jian Wang. An Improved Ant Colony Optimization Algorithm Based on Fractional Order Memory for Travelling Salesman Problems. IEEE Symposium Series on Computational Intelligence (SSCI), December 6-9, Xiamen, China, pp. 1516-1522, 2019. (EI) >>Fulltext Link

[44] Ling Yu, Zhen Zhang, Xuetao Xie, Hua Chen, Jian Wang*. Unsupervised feature selection using RBF autoencoder. International Symposium on Neural Networks, 11554: 48-57, 2019. (EI) >> Fulltext Link

[43] Tao Gao, Zhen Zhang, Qin Chang*, Xuetao Xie, Peng Ren, Jian Wang*. Conjugate gradient-based Takagi-Sugeno fuzzy neural network parameter identification and its convergence analysis. Neurocomputing, 364: 168-181, 2019. (SCI二区)  >> Fulltext Link

[42] Bingjie Zhang , Yusong Liu , Jinde Cao*, Shujun Wu , Jian Wang*. Fully complex conjugate gradient-based neural networks using Wirtinger calculus framework: Deterministic convergence and its application. Neural Networks,115: 50-64, 2019. (SCI一区) >> Fulltext Link

[41] Jian Wang, Qingquan Chang, Qin Chang, Yusong Liu and Nikhil R. Pal*. Weight noise injection-based MLPs with group lasso penalty: asymptotic convergence and application to node pruning. IEEE Transactions on Cybernetics, 49(12): 4346-4364, 2019. (SCI一区)>> Fulltext Link

[40] Qin Chang, Junze Wang, Huaqing Zhang, Lina Shi, Jian Wang, Nikhil R. Pal. Structure Optimization of Neural Networks with L1 Regularization on Gates. IEEE Symposium Series on Computational Intelligence, Bangalore, India, pp. 196-203, 2018.  >> Fulltext Link

[39] Bingjie Zhang, Junze Wang, Shujun Wu, Jian Wang, Huaqing Zhang. Fully Complex-Valued Wirtinger Conjugate Neural Networks with Generalized Armijo Search. International Conference on Intelligent Computing, 10956: 123-133, 2018. (EI) >> Fulltext Link

[38] Mingyue Zhu, Tao Gao, Bingjie Zhang, Qingying Sun, Jian Wang. An Efficient Elman Neural Networks Based on Improved Conjugate Gradient Method with Generalized Armijo Search. International Conference on Intelligent Computing, 10954: 1-7, 2018. (EI) >> Fulltext Link

[37] Tao Gao, Jian Wang*, Bingjie Zhang, Huaqing Zhang, Peng Ren, Nikhil R. Pal.A Polak-Ribiere-Polyak Conjugate Gradient-Based Neuro-Fuzzy Network and Its Convergence. IEEE Access, 6: 41551-41565, 2018. (SCI二区) >> Fulltext Link

[36] Tao Gao, Long Li, Zhen Zhang, Zhanquan Sun, Jian Wang. A New Parameter Identification Method for Type-1 TS Fuzzy Neural Network. The 15th International Symposium on Neural Networks, 10878: 200-207, 2018. (EI)   >> Fulltext Link

[35] Jian Wang, Chen Xu, Xifeng Yang, Jacek M. Zurada*. A novel pruning algorithm for smoothing feedforward neural networks based on group lasso method. IEEE Transactions on Neural Networks and learning Systems, 29(5): 2012-2024, 2018.  (SCI一区) >> Fulltext Link

[34] Jian Wang, Bingjie Zhang, Zhanquan Sun, Wenxue Hao, Qingying Sun*. A novel conjugate gradient method with generalized Armijo search for efficient training of feedforward neural networks. Neurocomputing, 275: 308-316, 2018.(SCI二区) >> Fulltext Link

[33] Hongmin Gao, Yichen Yang, Bingyin Zhang, Long Li, Huaqing Zhang, Shujun Wu. Feature Selection Using Smooth Gradient L1/2 Regularization. International Conference on Neural Information Processing, 10637: 160-170, 2017.  (EI) >> Fulltext Link

[32] Qin Liu, Zhaoyang Sang, Hua Chen, Jian Wang, Huaqing Zhang. An Efficient Algorithm for Complex-Valued Neural Networks Through Training Input Weights. International Conference on Neural Information Processing, 10637: 150-159, 2017.  (EI) >> Fulltext Link

[31] Bingjie Zhang, Tao Gao, Long Li, Zhanquan Sun, Jian Wang. An Improved Conjugate Gradient Neural Networks Based on a Generalized Armijo Search Method. International Conference on Neural Information Processing, 10637: 131-139, 2017. (EI) >> Fulltext Link

[30] Jian Wang, Yanqing Wen, Zhenyun Ye, Ling Jian, Hua Chen*. Convergence Analysis of BP neural networks via sparse response regularization. Applied Soft Computing, 61: 354-363, 2017.  (SCI二区) >> Fulltext Link

[29] Jian Wang, Guoling Yang, Bingjie Zhang, Zhanquan Sun*, Yusong Liu, Jichao Wang. Convergence Analysis of Caputo-type fractional order complex-valued neural networks. IEEE Access, 5: 14560-14571, 2017. (SCI二区) >> Fulltext Link

[28] Guoling Yang, Bingjie Zhang, Zhaoyang Sang, Jian Wang,Hua Chen. A Caputo-type Fractional-order gradient descent learning of BP neural networks. The 14th International Symposium on Neural Networks,  10261: 547-554, 2017. (EI)   >> Fulltext Link

[27] Jian Wang, Yanqing Wen, Yida Gou, Zhenyun Ye, Hua Chen*. Fractional-order gradient descent learning of BP neural networks with Caputo derivative. Neural Networks, 89: 19-30, 2017. (SCI一区) >> Fulltext Link

[26] Xian Shi, Jian Wang*, Xinmin Ge, Zhongying Han, Guanzheng Qu, Shu Jiang. A new method for rock brittleness evaluation in tight oil formation from conventional logs and petrophysical data. Journal of Petroleum Science and Engineering, 151: 169-182, 2017.(SCI三区) >> Fulltext Link

[25] Jian Wang, Qingling Cai, Qingquan Chang, Jacek M. Zurada. Convergence Analyses on Sparse Feedforward Neural Networks via Group Lasso Regularization. Information Sciences, 381: 250-269, 2017. (SCI二区) >> Fulltext Link

[24] Yanqing Wen, Jian Wang, Bingjia Huang, Jacek M. Zurada. Convergence Analysis of Inverse Iterative Neural Networks with L2 Penalty. Journal of Applied Computer Science Methods, 8(2): 85-98, 2016. >>Fulltext Link

[23] 王健. 中外教合作教学模式对师生的能力影响研究. 黑龙江教育学院学报, 35(8): 37-39, 2016. >> Fulltext Link

[22] Xian Shi, Gang Liu, Xiaoling Gong, Jialin Zhang, Jian Wang, Hongning Zhang. An Efficient Approach for Real-Time Prediction of Rate of Penetration in Offshore Drilling. Mathematical Problems in Engineering, 3: 1-13, 2016. (SCI 四区>> Fulltext Link

[21] Xian Shi, Gang Liu, Yuanfang Cheng, Liu Yang, Hailong Jiang, Lei Chen, Shu Jiang, Jian Wang*. Brittleness index prediction in shale gas reservoirs based on efficient network models. Journal of Natural Gas Science and Engineering, 35: 673-685, 2016.  (SCI三区) >> Fulltext Link

[20] Jian Wang, Zhenyun Ye, Weifeng Gao, Jacek M. Zurada. Boundedness and Convergence Analysis of Weight Elimination for Cyclic Training of Neural Networks. Neural Networks, 82: 49-61, 2016.   (SCI二区)>> Fulltext Link

[19] Xiaoling Gong, Jian Wang, Yanjiang Wang, and Jacek M. Zurada. A Conjugate Gradient-based Efficient Algorithm for Training Single-hidden-layer Neural Networks. International Conference on Neural Information Processing, 9950: 470-478, 2016. (EI)  >> Fulltext Link

[18] Xian Shi, Jian Wang*, Gang Liu, Liu Yang, Xinmin Ge, Shu Jiang. Application of extreme learning machine and neural networks in total organic carbon content  prediction in organic shale with wire line logs. Journal of Natural Gas Science and Engineering, 33: 687-702, 2016.(SCI三区) >> Fulltext Link

[17] 王健国芳刘珊黄炳家研究性教学在教学中的案例分析东南大学学报:哲学社会科学版,  17: 170-171, 2015. >> Fulltext Link

[16] Jian Wang, Guoling Yang, Shan Liu, Jacek M. Zurada. Convergence Analysis of Multilayer Feedforward Networks Trained with Penalty Terms: A Review. Journal of Applied Computer Science Methods, 7(2): 89-103, 2015. >> Fulltext Link

[15] 黄炳家, 王健, 温艳青, 杨喜峰, 邵红梅, 王兢. 带光滑L1/2正则化项的神经网络逆向迭代算法收敛性分析. 中国石油大学学报(自然科学版), 39(2): 164-170, 2015. (EI)  >> Fulltext Link

[14] Hongmei Shao, Jian Wang, Lijun Liu, Dongpo Xu, Wendi Bao. Relaxed conditions for convergence of batch BPAP for feedforward neural networks. Neurocomputing, 153: 174-179, 2015.  (SCI二区) >> Fulltext Link

[13] Yetian Fan, Wei Wu, Wenyu Yang, Qinwei Fan, Jian Wang. A pruning algorithm with L 1/2 regularizer for extreme learning machine. Journal of Zhejiang University Science C:Computer & Electronics, 15(2):119-125, 2014.(SCI四区)>> Fulltext Link

[12] Jian Wang, Jacek M. Zurada, Yanjiang Wang, Jing Wang, Guofang Xie. Boundedness of Weight Elimination for BP Neural Networks. International Conference on Artificial Intelligence and Soft Computing, 8467:155-165, 2014.(EI)>> Fulltext Link

[11] Yan Liu, Wei Wu, Qinwei Fan, Dakun Yang, Jian Wang. A modified gradient learning algorithm with smoothing L1/2 regularization for Takagi–Sugeno fuzzy models. Neurocomputing, 138: 229-237, 2014. (SCI二区)  >> Fulltext Link

[10] Wei Wu, Qinwei Fan, Jacek M. Zurada, Jian Wang, Dakun Yang, Yan Liu. Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks. Neural Networks, 50: 72-78, 2014.  (SCI二区) >> Fulltext Link

[9] Jan Chorowski, Jian Wang, Jacek M. Zurada. Review and performance comparison of SVM- and ELM-based classifiers. Neurocomputing, 128: 507-516, 2014. (SCI二区)  >> Fulltext Link

[8] Jian Wang. The Linear Algebra Teaching Methods Comparison and Analysis between China and America. Journal of Jilin Teachers Institute of Engineering and Technology, 28(2): 74-75, 2012. >> Fulltext Link

[7] Jian Wang, Wei Wu, Jacek M. Zurada. Computational Properties of Cyclic and Almost-Cyclic learning with momentum for feedforward neural networks. International Symposium on Neural Networks (ISNN), Jul 18-21, 7367:  545-554, 2012.  (EI)  >> Fulltext Link

[6] Jian Wang, Wei Wu, Jacek M. Zurada*. Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty. Neural Networks, 33: 127-135, 2012.  (SCI二区)  >> Fulltext Link

[5] Jian Wang, Wei Wu, Jacek M. Zurada. Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty. International Joint Conference on Neural Networks, Jul 31-Aug 5, 2011, pp. 125-132, San Jose, California, USA. (EI)   >> Fulltext Link

[4] Jian Wang, Wei Wu, Zhengxue Li, Long Li. Convergence of gradient method for double parallel feedforward neural network. International Journal of Numerical Analysis and Modeling, 8(3): 484-495, 2011. (SCI三区>> Fulltext Link

[3] Jian Wang, Wei Wu, Jacek M. Zurada. Deterministic convergence of conjugate gradient method for feedforward neural networks. Neurocomputing, 74(14-15): 2368-2376, 2011.  (SCI二区>> Fulltext Link

[2] Wei Wu, Jian Wang, Mingsong Cheng, Zhengxue Li. Convergence analysis of online gradient method for BP neural networks. Neural Networks, 24(1): 91-98, 2011.  (SCI二区) >> Fulltext Link

[1] Jian Wang, Jie Yang, Wei Wu. Convergence of cyclic and almost-cyclic learning with momentum for feedforward neural networks. IEEE Transactions on Neural Networks, 22(8): 1297-1306, 2011.  (SCI一区) >> Fulltext Link