CSpace

浏览/检索结果: 共2条,第1-2条 帮助

已选(0)清除 条数/页:   排序方式:
Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 587-599
作者:  Shi, Yang;  Jin, Long;  Li, Shuai;  Li, Jian;  Qiang, Jipeng;  Gerontitis, Dimitrios K.
收藏  |  浏览/下载:70/0  |  提交时间:2022/08/22
Mathematical model  Linear matrix inequalities  Numerical models  Computational modeling  Recurrent neural networks  Analytical models  Manipulators  Convergence  discrete-form time-variant multi-augmented Sylvester matrix problems  discrete-time recurrent neural networks (RNNs)  discretization formula  robot manipulator application  
Multi-granularity intelligent information processing 会议论文
15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2015, Tianjin, China, November 20, 2015 - November 23, 2015
作者:  Wang, Guoyin;  Xu, Ji;  Zhang, Qinghua;  Liu, Yuchao
Adobe PDF(1221Kb)  |  收藏  |  浏览/下载:88/0  |  提交时间:2018/03/16