AN INTEGRATED BOOLEAN NEURAL-NETWORK FOR PATTERN-CLASSIFICATION

被引：6

作者：

DECARVALHO, A ^{[1
]}

FAIRHURST, MC ^{[1
]}

BISSET, DL ^{[1
]}

机构：

[1] UNIV KENT,ELECTR ENGN LABS,CANTERBURY CT2 7NT,KENT,ENGLAND

来源：

PATTERN RECOGNITION LETTERS | 1994年 / 15卷 / 08期

关键词：

BOOLEAN NEURAL NETWORKS; PATTERN RECOGNITION; INTEGRATED ARCHITECTURES;

D O I：

10.1016/0167-8655(94)90009-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes an integrated approach to pattern classification where a self-organising Boolean neural network architecture is used as a front-end processor to a feedforward neural architecture based on goal-seeking principles (the GSN architecture). The performance of the integrated architecture is illustrated by considering its application to a character recognition problem.

引用

页码：807 / 813

页数：7

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