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Radial Basis Function Networks

  • Charu C. Aggarwal
Chapter

Abstract

Radial basis function (RBF) networks represent a fundamentally different architecture from what we have seen in the previous chapters. All the previous chapters use a feed-forward network in which the inputs are transmitted forward from layer to layer in a similar fashion in order to create the final outputs.

Keywords

Prototype Vectors Orthogonal Least Squares Algorithm Perceptron Criterion Training Points Kernel Regression 
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 International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Charu C. Aggarwal
    • 1
  1. 1.IBM T. J. Watson Research CenterInternational Business MachinesYorktown HeightsUSA

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