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GPENs: Graph Data Learning With Graph Propagation-Embedding Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:  Jiang, Bo;  Wang, Leiling;  Cheng, Jian;  Tang, Jin;  Luo, Bin
收藏  |  浏览/下载：178/0  |  提交时间：2022/01/27
Task analysis  Computer architecture  Semisupervised learning  Deep learning  Laplace equations  Data models  Labeling  Graph embedding  graph neural networks (GNNs)  graph propagation  semi-supervised learning  
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：257/0  |  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