A preliminary study on negative correlation learning via correlation-corrected data (NCCD)

被引：24

作者：

Chan, ZSH ^{[1
]}

Kasabov, N ^{[1
]}

机构：

[1] Univ Auckland, Knowledge Engn & Discovery Res Inst, Auckland 1, New Zealand

来源：

NEURAL PROCESSING LETTERS | 2005年 / 21卷 / 03期

关键词：

ensemble learning; learning; negative correlation; parallel computing;

D O I：

10.1007/s11063-005-1084-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This letter presents a novel cooperative neural network ensemble learning method based on Negative Correlation learning. It enables easy integration of various network models and reduces communication bandwidth significantly for effective parallel speedup. Comparison with the best Negative Correlation learning method reported demonstrates comparable performance at significantly reduced communication overhead.

引用

页码：207 / 214

页数：8

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