Optimization of electromagnetic devices using artificial neural network with quasi-Newton algorithm

被引：10

作者：

Ishikawa, T

Tsukui, Y

Matsunami, M

机构：

[1] Department of Electronic Engineering, Gunma University, Kiryu, Gunma 376

来源：

IEEE TRANSACTIONS ON MAGNETICS | 1996年 / 32卷 / 03期

关键词：

D O I：

10.1109/20.497465

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The present paper proposes a method for design optimization of electromagnetic devices. It utilizes an artificial neural network with the quasi-Newton algorithm. The proposed method can determine optimal weights and biases in the neural network more rapidly than the conventional method. A simple electromagnetic device is optimized by using this method.

引用

页码：1226 / 1229

页数：4

共 8 条

[1] A NEURAL-NETWORK APPROACH FOR THE SOLUTION OF ELECTRIC AND MAGNETIC INVERSE PROBLEMS [J].