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Simulation studies of wavelet neural networks for intelligent CNC turning

DSpace at IIT Bombay

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Title Simulation studies of wavelet neural networks for intelligent CNC turning
 
Creator SHASHIDHARA, HL
SUNEEL, TS
GADRE, VM
PANDE, SS
 
Subject wavelet neural network
ann
cad/cam
cnc
intelligent manufacturing
 
Description 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.
 
Publisher C S R E A PRESS
 
Date 2011-10-27T09:14:08Z
2011-12-15T09:12:30Z
2011-10-27T09:14:08Z
2011-12-15T09:12:30Z
1999
 
Type Proceedings Paper
 
Identifier INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL I AND II,542-548
1-892512-18-1
http://dspace.library.iitb.ac.in/xmlui/handle/10054/16246
http://hdl.handle.net/100/2703
 
Source 1999 International Conference on Artificial Intelligence (ICAI 99),LAS VEGAS, NV,JUN 28-JUL 01, 1999
 
Language English