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
收藏
页码：457 / 463
页数：7
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