Pattern recognition in bistable networks

被引：1

作者：

Chinarov, V ^{[1
]}

Halici, U ^{[1
]}

Leblebicioglu, K ^{[1
]}

机构：

[1] Vidhuk Sci Res Ctr, UA-252033 Kiev, Ukraine

来源：

APPLICATIONS AND SCIENCE OF COMPUTATIONAL INTELLIGENCE II | 1999年 / 3722卷

关键词：

pattern recognition; learning; bistable elements; neural-like network;

D O I：

10.1117/12.342903

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Present study concerns the problem of learning, pattern recognition and computational abilities of a homogeneous network composed from coupled bistable units. An efficient learning algorithm is developed. New possibilities for pattern recognition may be realized due to the developed technique that permits a reconstruction of a dynamical system using the distributions of its attractors. In both cases the updating procedure for the coupling matrix uses the minimization of least-mean-square errors between the applied and desired patterns.

引用

页码：457 / 463

页数：7

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