Trabalho apresentado em evento
Mathematical tests about the existence and applications of PPS-wavelets in function approximation problems
Date
1998-01-01Registration in:
Wavelet Applications V. Bellingham: Spie-int Soc Optical Engineering, v. 3391, p. 455-466, 1998.
0277-786X
10.1117/12.304895
WOS:000073454200044
1233049484488761
Author
Universidade Estadual Paulista (Unesp)
Abstract
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.