Dianhui WANG
Dianhui WANG
Verified email at latrobe.edu.au - Homepage
Cited by
Cited by
Stochastic configuration networks: Fundamentals and algorithms
D Wang, M Li
IEEE transactions on cybernetics 47 (10), 3466-3479, 2017
Fast decorrelated neural network ensembles with random weights
M Alhamdoosh, D Wang
Information Sciences 264, 104-117, 2014
Randomness in neural networks: an overview
S Scardapane, D Wang
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (2 …, 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
Insights into randomized algorithms for neural networks: Practical issues and common pitfalls
M Li, D Wang
Information Sciences 382, 170-178, 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
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
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
On regularizing singular systems by decentralized output feedback
D Wang, CB Soh
IEEE transactions on Automatic Control 44 (1), 148-152, 1999
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
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
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
Robustness of uncertain descriptor systems
C Lin, J Wang, D Wang, CB Soh
Systems & control letters 31 (3), 129-138, 1997
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
Robust single-hidden layer feedforward network-based pattern classifier
Z Man, K Lee, D Wang, Z Cao, S Khoo
IEEE transactions on neural networks and learning systems 23 (12), 1974-1986, 2012
Modeling and control compensation of nonlinear friction using adaptive fuzzy systems
YF Wang, DH Wang, TY Chai
Mechanical Systems and Signal Processing 23 (8), 2445-2457, 2009
Robust stochastic configuration networks with kernel density estimation for uncertain data regression
D Wang, M Li
Information Sciences 412, 210-222, 2017
Quadratically convex combination approach to stability of T–S fuzzy systems with time-varying delay
F Yang, S Guan, D Wang
Journal of the Franklin Institute 351 (7), 3752-3765, 2014
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