Dianhui WANG
Dianhui WANG
Verified email at - Homepage
Cited by
Cited by
Stochastic configuration networks: Fundamentals and algorithms
D Wang, M Li
IEEE transactions on cybernetics 47 (10), 3466-3479, 2017
Randomness in neural networks: an overview
S Scardapane, D Wang
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (2 …, 2017
Fast decorrelated neural network ensembles with random weights
M Alhamdoosh, D Wang
Information Sciences 264, 104-117, 2014
Insights into randomized algorithms for neural networks: Practical issues and common pitfalls
M Li, D Wang
Information Sciences 382, 170-178, 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
Distributed learning for random vector functional-link networks
S Scardapane, D Wang, M Panella, A Uncini
Information Sciences 301, 271-284, 2015
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
Robust stochastic configuration networks with kernel density estimation for uncertain data regression
D Wang, M Li
Information Sciences 412, 210-222, 2017
Stochastic configuration networks ensemble with heterogeneous features for large-scale data analytics
D Wang, C Cui
Information Sciences 417, 55-71, 2017
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
A robust adaptive neural networks controller for maritime dynamic positioning system
J Du, Y Yang, D Wang, C Guo
Neurocomputing 110, 128-136, 2013
Deep stochastic configuration networks with universal approximation property
D Wang, M Li
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 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
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
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
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
2-D stochastic configuration networks for image data analytics
M Li, D Wang
IEEE Transactions on Cybernetics 51 (1), 359-372, 2019
A probabilistic learning algorithm for robust modeling using neural networks with random weights
F Cao, H Ye, D Wang
Information Sciences 313, 62-78, 2015
A neuro-fuzzy approach for diagnosis of antibody deficiency syndrome
JS Lim, D Wang, YS Kim, S Gupta
Neurocomputing 69 (7-9), 969-974, 2006
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
The system can't perform the operation now. Try again later.
Articles 1–20