Title :
Application of artificial neural network in optimal design of step motor
Author :
Chen Jian ; Zhenmin, Yu
Author_Institution :
Xi´´an Jiaotong Univ., China
Abstract :
A neural network using the backpropagation algorithm is developed in this paper to identify the error patterns of the method of linear interpolation. The relationship between the input samples and the output error patterns is then established, which can be used to improve the accuracy of stepping motor design significantly
Keywords :
backpropagation; electric machine CAD; error analysis; interpolation; machine theory; neural nets; optimisation; stepping motors; CAD; artificial neural network; backpropagation algorithm; design accuracy improvement; error patterns identification; input samples; linear interpolation methods; output error patterns; stepping motor design optimisation; Artificial neural networks; Computer errors; Design engineering; Feedforward neural networks; Intelligent networks; Interpolation; Multi-layer neural network; Neural networks; Neurons; Signal processing algorithms;
Conference_Titel :
Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
7-5062-5115-9
DOI :
10.1109/ICEMS.2001.971876
