Study on Technical Problems and Research Methods for Iterative Learning Neural Network Optimization Control for Robotic Arm

摘要：

　　This paper conducts comprehensive scientific research on intelligent methods such as artificial neural networks,evolutionary computation and iterative learning,including the development of related algorithms with practical application significance and value.On the one hand,it strives to deal with the relevant massive data,and on the other hand,it develops and verifies relevant theories and algorithms for the optimization,control and other related problems in the movement of redundant manipulators.In solving the iterative learning neural network control system for manipulators,this paper analyzes the key technical problems to be solved and also describes related research methods.

关键词： Robotic Arm Iterative Learning Neural Network Optimization Control Technical Problem Research Method

作者: Man Li

作者单位: Xian International University,Xian,Shaanxi,710077,China

会议类型: 国际会议

会议名称: 2018 International Conference on Computational Science and Engineering (ICCSE 2018))(2018年国际计算科学与工程会议)

会议地点: 青岛

会议语种:英文

页码: 309-312

在线出版日期: 2018-11-03（万方平台首次上网日期，不代表论文的发表时间）