DocumentCode
2017311
Title
Application of artificial neural network in optimal design of step motor
Author
Chen Jian ; Zhenmin, Yu
Author_Institution
Xi´´an Jiaotong Univ., China
Volume
2
fYear
2001
fDate
37104
Firstpage
1125
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICEMS.2001.971876
Filename
971876
Link To Document