Analysis of sampling methods in the learning process of ensemble neural networks

被引：0

作者：

Lopez, Miguel ^{[1
]}

Melin, Patricia ^{[2
]}

机构：

[1] Univ Autonoma Baja California, Tijuana, Baja California, Mexico

[2] Tijuana Inst Technol, Tijuana, Baja California, Mexico

来源：

NAFIPS 2007 - 2007 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY | 2007年

关键词：

D O I：

10.1109/NAFIPS.2007.383909

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

When developing learning algorithms for ensemble neural networks it is of fundamental importance to use a sampling method. In this paper a comparative analysis is made, between a sampling data method based on the mean square error for the training of ensemble neural networks and cross validation sampling method.

引用

页码：604 / +

页数：3

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