Study on Technical Problems and Research Methods for Iterative Learning Neural Network Optimization Control for Robotic Arm
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DOI: 10.25236/iccse.18.061
Corresponding Author
Man Li
Abstract
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.
Keywords
Robotic Arm, Iterative Learning, Neural Network Optimization Control, Technical Problem, Research Method