ON THE ANALYSIS OF DYNAMIC FEEDBACK NEURAL NETS

被引：38

作者：

SALAM, FMA

WANG, YW

CHOI, MR

机构：

[1] Department of Electrical Engineering and Systems Science, Michigan State University, East Lansing, MI

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS | 1991年 / 38卷 / 02期

关键词：

D O I：

10.1109/31.68297

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：

Neural networks, as found in the nervous system, possess impressive computational powers that are attributed largely to their high (feedback) interconnectivity. We present some theoretical results pertaining to the dynamic properties of dynamic feedback (artificial) neural networks. We also present some conditions to systematically specify the equilibria for these networks. Our emphasis throughout will be on the design of feedback artificial neural nets of the Hopfield type and their potential use as classifiers.

引用

页码：196 / 201

页数：6

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