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Wavelet Network for Recursive Function Learning

Published • Jan 1, 2003
NobleIDNI3P55W62R22S08
Authors:
Zygmunt Hasiewicz

Abstract

We present a wavelet neural network for recovering non-linear functions from random data. The network has modular architecture and exploits a father wavelet as activation function. Synaptic weights of the net are trained according to simple recursive rules and yield consistent estimates of function ...

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