Mathematical tests about the existence and applications of PPS-wavelets in function approximation problems
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Data
1998-01-01
Autores
Marar, João Fernando [UNESP]
Carvalho, ECB
dos Santos, J. D.
Título da Revista
ISSN da Revista
Título de Volume
Editor
Spie - Int Soc Optical Engineering
Resumo
Neural networks and wavelet transform have been recently seen as attractive tools for developing eficient solutions for many real world problems in function approximation. Function approximation is a very important task in environments where computation has to be based on extracting information from data samples in real world processes. So, mathematical model is a very important tool to guarantee the development of the neural network area. In this article we will introduce one series of mathematical demonstrations that guarantee the wavelets properties for the PPS functions. As application, we will show the use of PPS-wavelets in pattern recognition problems of handwritten digit through function approximation techniques.
Descrição
Palavras-chave
PPS, neural networks, function approximation, wavelet transform
Como citar
Wavelet Applications V. Bellingham: Spie-int Soc Optical Engineering, v. 3391, p. 455-466, 1998.