Generalization of CNN with hysteresis nonlinearity

被引：0

作者：

Slavova, A ^{[1
]}

机构：

[1] Univ Min & Geol, Dept Math, Sofia 1100, Bulgaria

来源：

CNNA 98 - 1998 FIFTH IEEE INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS - PROCEEDINGS | 1998年

关键词：

D O I：

10.1109/CNNA.1998.685330

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we introduce a general class of neural networks. This new model covers some of the known neural network architectures, including cellular neural networks and Hopfield networks. Hysteresis feedback: networks are introduced and compared to the general Hopfield networks in order to prove the existence of hysteresis phenomena in it.

引用

页码：56 / 61

页数：4