DSpace
 

DSpace at IIT Bombay >
IITB Publications >
Proceedings papers >

Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/100/2703

Title: Simulation studies of wavelet neural networks for intelligent CNC turning
Authors: SHASHIDHARA, HL
SUNEEL, TS
GADRE, VM
PANDE, SS
Issue Date: 1999
Publisher: C S R E A PRESS
Citation: INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL I AND II,542-548
Abstract: Wavelet neural networks are investigated for learning a multi dimensional input-output complex nonlinear function. The objective is to predict accurately the error likely to be produced on parts during CNC machining and use it further to correct the process for improving the part accuracy. Exhaustive analysis is carried out by varying the number of wavelons in the wavelet neural network for determining the minimum number of wavelons. Artificial neural networks are also investigated for function learning and a comparison is drawn with the performance of wavelet neural networks. It is found that wavelet neural networks perform better as a function approximation tool as compared to artificial neural networks.
URI: http://dspace.library.iitb.ac.in/xmlui/handle/10054/16246
http://hdl.handle.net/100/2703
ISBN: 1-892512-18-1
Appears in Collections:Proceedings papers

Files in This Item:

There are no files associated with this item.

View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback