A neural bridge from syntactic to statistical pattern recognition

被引：12

作者：

Allen, FT ^{[1
]}

Kinser, JM ^{[1
]}

Caulfield, HJ ^{[1
]}

机构：

[1] Alabama A&M Univ, Ctr Appl Opt Sci, Normal, AL 35762 USA

来源：

NEURAL NETWORKS | 1999年 / 12卷 / 03期

关键词：

pulse coupled neural network; syntactic pattern recognitions; statistical pattern recognition;

D O I：

10.1016/S0893-6080(98)00124-5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A simple means of differentiating between syntactic and statistical pattern recognition is that, while both deal with feature sets, syntactic methods also include relationships among the features. In this paper we describe a pulse-coupled neural network (PCNN), which operates syntactically to produce icons that are ideal for statistical pattern recognition. (C) 1999 Published by Elsevier Science Ltd. All rights reserved.

引用

页码：519 / 526

页数：8

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