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Function learning using wavelet neural networks

DSpace at IIT Bombay

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Title Function learning using wavelet neural networks
 
Creator SHASHIDHARA, HL
LOHANI, SUMIT
GADRE, VM
 
Subject function approximation
learning (artificial intelligence)
neural nets
signal processing
wavelet transforms
 
Description A new architecture based on wavelets and neural networks is proposed and implemented for learning a class of functions. The performance of such networks is analyzed for function learning. These functions belong to a common class but possess minor variations. The scheme developed makes use of wavelet neural network. It is useful to have a small dimensional network that can approximate a wide class of functions. The network has two levels of freedom. By this the network not only selects the parameters of the basis wavelets but also provides a variation in the choice.
 
Publisher IEEE
 
Date 2008-12-28T07:01:30Z
2011-11-28T05:16:04Z
2011-12-15T09:56:39Z
2008-12-28T07:01:30Z
2011-11-28T05:16:04Z
2011-12-15T09:56:39Z
2000
 
Type Article
 
Identifier Proceedings of IEEE International Conference on Industrial Technology (V 1) Goa, India, 19-22 January 2000, 335-340
0-7803-5812-0
http://hdl.handle.net/10054/507
http://dspace.library.iitb.ac.in/xmlui/handle/10054/507
 
Language en