Constructive gradient neural network

被引：0

作者：

Ondrácek, T ^{[1
]}

机构：

[1] ARTIN Spol Sro, Brno 61200, Czech Republic

来源：

NEURAL NETWORK WORLD | 2005年 / 15卷 / 06期

关键词：

constructive neural networks; back propagation; corner isolation problem; learning; Cascade Correlation; Levenberg-Marquardt;

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：

The paper deals with a description of a constructive neural network based on gradient initial setting of its weights. The network has been used as a pattern classifier of two dimensional patterns but it can be generally used to n x m associative problems. A network topology, processes of learning and retrieving, experiments and comparison to other neural networks are described.

引用

页码：553 / 566

页数：14

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