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|Title:||Function learning using wavelet neural networks|
Learning (Artificial Intelligence)
|Citation:||Proceedings of IEEE International Conference on Industrial Technology (V 1) Goa, India, 19-22 January 2000, 335-340|
|Abstract:||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.|
|Appears in Collections:||Proceedings papers|
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