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A Genetic Algorithm for Constructing Wavelet Neural Networks

  • Jinhua Xu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4113)

Abstract

In this paper, a new algorithm is proposed for the design of WNNs. The design is performed in an evolutionary way, which allowed us to construct a parsimonious model to satisfy the design requirement. A genetic algorithm (GA) is used to select a wavelet basis, and the fitness of a wavelet is evaluated according to the residue reduction. Output weights are updated using least square techniques. Simulations demonstrate the effectiveness of the proposed algorithm.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jinhua Xu
    • 1
  1. 1.Department of Computer ScienceEast China Normal University 

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