The unpredictability of standard back propagation neural networks in classification applications

The unpredictability of standard back propagation neural networks in classification applications

0.00 Avg rating0 Votes
Article ID: iaor1996292
Country: United States
Volume: 41
Issue: 3
Start Page Number: 555
End Page Number: 559
Publication Date: Mar 1995
Journal: Management Science
Authors:
Keywords: artificial intelligence, philosophy
Abstract:

This note offers an extension of Tam and Kiang. 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.

Reviews

Required fields are marked *. Your email address will not be published.