| Stochastic configuration networks: Fundamentals and algorithms D Wang, M Li IEEE transactions on cybernetics 47 (10), 3466-3479, 2017 | 636 | 2017 |
| Randomness in neural networks: an overview S Scardapane, D Wang Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (2 …, 2017 | 398 | 2017 |
| Fast decorrelated neural network ensembles with random weights M Alhamdoosh, D Wang Information Sciences 264, 104-117, 2014 | 237 | 2014 |
| Insights into randomized algorithms for neural networks: Practical issues and common pitfalls M Li, D Wang Information Sciences 382, 170-178, 2017 | 226 | 2017 |
| A self-adaptive RBF neural network classifier for transformer fault analysis K Meng, ZY Dong, DH Wang, KP Wong IEEE Transactions on Power Systems 25 (3), 1350-1360, 2010 | 177 | 2010 |
| Assessing short-term voltage stability of electric power systems by a hierarchical intelligent system Y Xu, R Zhang, J Zhao, ZY Dong, D Wang, H Yang, KP Wong IEEE Transactions on Neural Networks and Learning Systems 27 (8), 1686-1696, 2015 | 176 | 2015 |
| Distributed learning for random vector functional-link networks S Scardapane, D Wang, M Panella, A Uncini Information Sciences 301, 271-284, 2015 | 169 | 2015 |
| Robust stochastic configuration networks with kernel density estimation for uncertain data regression D Wang, M Li Information Sciences 412, 210-222, 2017 | 156 | 2017 |
| Stochastic configuration networks ensemble with heterogeneous features for large-scale data analytics D Wang, C Cui Information Sciences 417, 55-71, 2017 | 135 | 2017 |
| A robust adaptive neural networks controller for maritime dynamic positioning system J Du, Y Yang, D Wang, C Guo Neurocomputing 110, 128-136, 2013 | 122 | 2013 |
| A decentralized training algorithm for echo state networks in distributed big data applications S Scardapane, D Wang, M Panella Neural Networks 78, 65-74, 2016 | 118 | 2016 |
| Deep stochastic configuration networks with universal approximation property D Wang, M Li 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 111 | 2018 |
| New stability criteria of delayed load frequency control systems via infinite-series-based inequality F Yang, J He, D Wang IEEE Transactions on Industrial Informatics 14 (1), 231-240, 2017 | 103 | 2017 |
| 2-D stochastic configuration networks for image data analytics M Li, D Wang IEEE Transactions on Cybernetics 51 (1), 359-372, 2019 | 97 | 2019 |
| A new robust training algorithm for a class of single-hidden layer feedforward neural networks Z Man, K Lee, D Wang, Z Cao, C Miao Neurocomputing 74 (16), 2491-2501, 2011 | 83 | 2011 |
| Effective deep attributed network representation learning with topology adapted smoothing J Chen, M Zhong, J Li, D Wang, T Qian, H Tu IEEE Transactions on Cybernetics 52 (7), 5935-5946, 2021 | 82 | 2021 |
| Flame image-based burning state recognition for sintering process of rotary kiln using heterogeneous features and fuzzy integral W Li, D Wang, T Chai IEEE Transactions on Industrial Informatics 8 (4), 780-790, 2012 | 82 | 2012 |
| Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams M Pratama, D Wang Information Sciences 495, 150-174, 2019 | 74 | 2019 |
| Extraction and adaptation of fuzzy rules for friction modeling and control compensation Y Wang, D Wang, T Chai IEEE Transactions on Fuzzy Systems 19 (4), 682-693, 2011 | 73 | 2011 |
| Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression M Li, C Huang, D Wang Information Sciences 473, 73-86, 2019 | 72 | 2019 |
Ming LiProfessor, Zhejiang Normal UniversityAdresă de e-mail confirmată pe zjnu.edu.cn