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.
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页码：807 / 813
页数：7
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