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Efficient MOEAs with an adaptive sampling technique in searching robust optimal solutions 会议论文
Proceedings of the 7th World Congress on Intelligent Control and Automation, Chongqing, China, 2008-06-25~27
作者:  Luo, Biao;  Zheng, Jinhua;  Wu, Huai-Ning
浏览  |  Adobe PDF(804Kb)  |  收藏  |  浏览/下载：305/95  |  提交时间：2016/04/08
Simultaneous Policy Update Algorithm  
Approximate optimal control design for nonlinear one-dimensional parabolic PDE systems using empirical eigenfunctions and neural network 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, 2012, 卷号: 42, 期号: 6, 页码: 1538-1549
作者:  Luo, Biao;  Wu, Huai-Ning
浏览  |  Adobe PDF(653Kb)  |  收藏  |  浏览/下载：392/122  |  提交时间：2016/04/08
Approximate Optimal Control Design  
DynaCAS: Computational Experiments and Decision Support for ITS 期刊论文
IEEE INTELLIGENT SYSTEMS, 2008, 卷号: 23, 期号: 6, 页码: 19-23
作者:  Zhang, Nan;  Wang, Fei-Yue;  Zhu, Fenghua;  Zhao, Dongbin;  Tang, Shuming
浏览  |  Adobe PDF(586Kb)  |  收藏  |  浏览/下载：324/75  |  提交时间：2015/11/08
Dynacas  Computational Experiments  Decision Support  Its  
DynaCAS: Computational Experiments and Decision Support for ITS 期刊论文
IEEE INTELLIGENT SYSTEMS, 2008, 卷号: 23, 期号: 6, 页码: 19-23
作者:  Zhang, Nan;  Wang, Fei-Yue;  Zhu, Fenghua;  Zhao, Dongbin;  Tang, Shuming
浏览  |  Adobe PDF(586Kb)  |  收藏  |  浏览/下载：268/46  |  提交时间：2015/11/08
Dynacas  Computational Experiments  Decision Support  Its  
A fuzzy Actor-Critic reinforcement learning network 期刊论文
INFORMATION SCIENCES, 2007, 卷号: 177, 期号: 18, 页码: 3764-3781
作者:  Wang, Xue-Song;  Cheng, Yu-Hu;  Yi, Jian-Qiang
Adobe PDF(762Kb)  |  收藏  |  浏览/下载：798/394  |  提交时间：2015/11/08
Reinforcement Learning  Actor-critic Learning  Fuzzy Inference System  Radial Basis Function Neural Network  
A reinforcement learning based radial-bassis function network control system 期刊论文
ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS, 2005, 卷号: 3496, 期号: ?, 页码: 640-645
作者:  Li, JN;  Yi, JQ;  Zhao, DB;  Xi, GC;  Wang, J;  Liao, X;  Yi, Z
浏览  |  Adobe PDF(214Kb)  |  收藏  |  浏览/下载：186/52  |  提交时间：2015/11/06
Radial-basis Function  Reinforcement Learning