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RNN for Perturbed Manipulability Optimization of Manipulators Based on a Distributed Scheme: A Game-Theoretic Perspective 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5116-5126
作者:  Zhang, Jiazheng;  Jin, Long;  Cheng, Long
收藏  |  浏览/下载：252/0  |  提交时间：2021/03/02
Optimization  Neural networks  Task analysis  Nash equilibrium  Manipulator dynamics  Distributed control  game theory  manipulability optimization  neural network  redundancy resolution  
Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3555-3569
作者:  Qi, Yimeng;  Jin, Long;  Wang, Yaonan;  Xiao, Lin;  Zhang, Jiliang
收藏  |  浏览/下载：188/0  |  提交时间：2021/01/07
Computational modeling  Convergence  Mathematical model  Recurrent neural networks  Perturbation methods  Robots  Numerical models  Complex domain  discrete-time neural dynamics (DTND)  quasi-Newton Broyden-Fletcher-Goldfarb-Shanno (BFGS)  quadratic programming (QP)  
Self-Paced Balance Learning for Clinical Skin Disease Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 2832-2846
作者:  Yang, Jufeng;  Wu, Xiaoping;  Liang, Jie;  Sun, Xiaoxiao;  Cheng, Ming-Ming;  Rosin, Paul L.;  Wang, Liang
收藏  |  浏览/下载：221/0  |  提交时间：2020/09/07
Diseases  Skin  Complexity theory  Training  Task analysis  Image recognition  Learning systems  Class imbalance  clinical skin disease recognition  complexity level  self-paced balance learning (SPBL)  
Event-Triggered State Estimation for Discrete-Time Multidelayed Neural Networks With Stochastic Parameters and Incomplete Measurements 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 5, 页码: 1152-1163
作者:  Shen, Bo;  Wang, Zidong;  Qiao, Hong;  Hong Qiao
收藏  |  浏览/下载：239/0  |  提交时间：2016/12/08
Event-triggered State Estimation  Exponentially Ultimate Boundedness  Incomplete Measurements  Neural Networks  Quantizations  Sensor Saturations  Stochastic Parameters