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Wavelet Network Estimating Regression Function

  • Przemysław Śliwiński
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 19)

Abstract

In the paper we propose the wavelet network estimating the regression function from the set of learning pairs. The entire framework (consisting on the network architecture, learning algorithm and pruning procedure) is derived from the theory of non-parametric estimation of the regression function.

Keywords

Neural Network Regression Function Probabilistic Neural Network General Regression Neural Network Wavelet Neural Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Przemysław Śliwiński
    • 1
  1. 1.Institute of Engineering CyberneticsWrocław University of TechnologyWrocławPoland

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