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

被引：50
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
收藏
页码：555 / 559
页数：5
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