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Function learning using wavelet neural networks

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3 Author(s)
Shashidhara, H.L. ; Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India ; Lohani, S. ; Gadre, V.M.

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.

Published in:

Industrial Technology 2000. Proceedings of IEEE International Conference on  (Volume:2 )

Date of Conference:

19-22 Jan. 2000