Graded signal functions for ARTMAP neural networks

被引：0

作者：

Kopco, N ^{[1
]}

Carpenter, GA ^{[1
]}

机构：

[1] Boston Univ, Dept Cognit & Neural Syst, Boston, MA 02215 USA

来源：

STATE OF THE ART IN COMPUTATIONAL INTELLIGENCE | 2000年

关键词：

ARTMAP; fast learning; graded signal function; neural network;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This study presents art analysis of a modified ARTMAP neural network in which a graded signal function replaces the standard choice-by-difference function. The modifications are introduced mathematically and the performance of the system is studied on two benchmark examples. It is shown that the modified ARTMAP system achieves classification accuracy superior to that of standard ARTMAP, while retaining comparable complexity of thf internal code.

引用

页码：9 / 14

页数：6

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