Modeling magnetic hysteresis using neural network

被引：0

作者：

Liu, FG ^{[1
]}

Liu, S ^{[1
]}

Yang, QX ^{[1
]}

Yan, WL ^{[1
]}

机构：

[1] Hebei Univ Technol, Tianjin 300130, Peoples R China

来源：

PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON ELECTROMAGNETIC FIELD PROBLEMS AND APPLICATIONS | 2000年

关键词：

magnetic hysteresis; neural network; Jiles-Atherton model;

D O I：

暂无

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 accurate and effective modeling of magnetic materials is critical to the prediction of the performance of electromagnetic devices. In this paper, the BP neural network hysteresis model is investigated. The adopted NN structure and the corresponding arithmetic are introduced. The performance of NN hysteresis engine is evaluated by comparing hysteresis loops produced by the proposed NN model and Jiles-Atherton model respectively.

引用

页码：250 / 252

页数：3

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