Record Details

Neural networks and statistical techniques: a review of applications

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Neural networks and statistical techniques: a review of applications
 
Creator PALIWAL, M
KUMAR, UA
 
Subject neural network
regression analysis
logistic regression
discriminant analysis
computer-aided diagnosis
decision-support systems
logistic-regression
bankruptcy prediction
discriminant-analysis
multiple-regression
digitizing uncertainty
linear-regression
breast masses
models
 
Description Neural networks are being used in areas of prediction and classification, the areas where statistical methods have traditionally been used. Both the traditional statistical methods and neural networks are looked upon as competing model-building techniques in literature. This paper carries out a comprehensive review of articles that involve a comparative study of feed forward neural networks and statistical techniques used for prediction and classification problems in various areas of applications. Tabular presentations highlighting the important features of these articles are also provided. This study aims to give useful insight into the capabilities of neural networks and statistical methods used in different kinds of applications. (C) 2007 Elsevier Ltd. All rights reserved.
 
Publisher PERGAMON-ELSEVIER SCIENCE LTD
 
Date 2011-10-13T19:12:56Z
2011-12-15T09:16:05Z
2011-10-13T19:12:56Z
2011-12-15T09:16:05Z
2009
 
Type Review
 
Identifier EXPERT SYSTEMS WITH APPLICATIONS,36(1)2-17
0957-4174
http://dx.doi.org/10.1016/j.eswa.2007.10.005
http://dspace.library.iitb.ac.in/xmlui/handle/10054/13825
http://hdl.handle.net/100/2990
 
Language en