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RNN for Repetitive Motion Generation of Redundant Robot Manipulators: An Orthogonal Projection-Based Scheme 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 615-628
作者:  Xie, Zhengtai;  Jin, Long;  Luo, Xin;  Sun, Zhongbo;  Liu, Mei
收藏  |  浏览/下载:50/0  |  提交时间:2022/08/22
Manipulators  Kinematics  Recurrent neural networks  Task analysis  Redundancy  Error elimination  gradient descent method  orthogonal projection method  recurrent neural network (RNN)  redundant manipulators  repetitive motion generation (RMG)  
Activated Gradients for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Liu, Mei;  Chen, Liangming;  Du, Xiaohao;  Jin, Long;  Shang, Mingsheng
收藏  |  浏览/下载:50/0  |  提交时间:2022/08/22
Training  Deep learning  Neural networks  Optimization  Visualization  Newton method  Eigenvalues and eigenfunctions  Exploding gradient problems  gradient activation function (GAF)  ill-conditioned problems  saddle point problems  vanishing gradient problems