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                                       Details for article 2 of 7 found articles
 
 
  A taxonomy for wavelet neural networks applied to nonlinear modelling
 
 
Title: A taxonomy for wavelet neural networks applied to nonlinear modelling
Author: Ribes-Gomez, Emilio
McLoone, Sean
Irwin, George
Appeared in: International journal of systems science
Paging: Volume 39 (2008) nr. 6 pages 607-627
Year: 2008-06
Contents: This article presents a novel classification of wavelet neural networks based on the orthogonality/non-orthogonality of neurons and the type of nonlinearity employed. On the basis of this classification different network types are studied and their characteristics illustrated by means of simple one-dimensional nonlinear examples. For multidimensional problems, which are affected by the curse of dimensionality, the idea of spherical wavelet functions is considered. The behaviour of these networks is also studied for modelling of a low-dimension map.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 7 found articles
 
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