人工神经网络在步进电机优化设计中的应用

ICEMS'2001. Proceedings of the Fifth International Conference on Electrical Machines and Systems (IEEE Cat. No.01EX501) Pub Date : 2001-08-18 DOI:10.1109/ICEMS.2001.971876

Chen Jian, Yuan Zhenmin

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摘要

本文提出了一种基于反向传播算法的神经网络来识别线性插值方法的误差模式。然后建立了输入样本与输出误差模式之间的关系，可用于显著提高步进电机的设计精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Application of artificial neural network in optimal design of step motor

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.

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ICEMS'2001. Proceedings of the Fifth International Conference on Electrical Machines and Systems (IEEE Cat. No.01EX501)

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