THE UNPREDICTABILITY OF STANDARD BACK-PROPAGATION NEURAL NETWORKS IN CLASSIFICATION APPLICATIONS

被引：51

作者：

WANG, SH

机构：

来源：

MANAGEMENT SCIENCE | 1995年 / 41卷 / 03期

关键词：

NEURAL NETWORKS; ARTIFICIAL INTELLIGENCE; CLASSIFICATION;

D O I：

10.1287/mnsc.41.3.555

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

This note offers an extension of Tam and Kiang (1992). First the weakness of the standard back propagation neural network learning algorithm is discussed, and then a warning is issued regarding applications of artificial neural networks in the management science field. Also suggested is a possible way of improving the performance of neural networks in managerial applications.

引用

页码：555 / 559

页数：5

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