Error back-propagation algorithm for classification of imbalanced data

被引：52

作者：

Oh, Sang-Hoon ^{[1
]}

机构：

[1] Mokwon Univ, Dept Informat Commun Engn, Taejon, South Korea

来源：

NEUROCOMPUTING | 2011年 / 74卷 / 06期

关键词：

Error back-propagation; Imbalanced data; Error function; NEURAL-NETWORKS;

D O I：

10.1016/j.neucom.2010.11.024

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Classification of imbalanced data is pervasive but it is a difficult problem to solve. In order to improve the classification of imbalanced data, this letter proposes a new error function for the error back-propagation algorithm of multilayer perceptrons. The error function intensifies weight-updating for the minority class and weakens weight-updating for the majority class. We verify the effectiveness of the proposed method through simulations on mammography and thyroid data sets. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：1058 / 1061

页数：4

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