Neural network identification of a nonlinear circuit model of hysteresis

被引：17

作者：

Cincotti, S

Daneri, I

机构：

[1] Univ Cagliari, Dipartimento Ingn Elettr & Elettron, I-09123 Cagliari, Italy

[2] Univ Genoa, Dipartimento Ingn Biofis & Elettron, I-16145 Genoa, Italy

来源：

ELECTRONICS LETTERS | 1997年 / 33卷 / 13期

关键词：

nonlinear network analysis; neural networks;

D O I：

10.1049/el:19970748

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：

A nonlinear circuit model of hysteretic phenomena is presented. The model provides a close prediction of static hysteresis and exhibits realistic dynamic features. The parameters of the circuit model can be identified by proper neural network training. Basic features and results are discussed.

引用

页码：1154 / 1156

页数：3

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