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Radial Basis Function Networks

In: Neural Networks and Deep Learning

Author

Listed:
  • Charu Aggarwal

    (International Business Machines, IBM T. J. Watson Research Center)

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.

Suggested Citation

  • Charu Aggarwal, 2023. "Radial Basis Function Networks," Springer Books, in: Neural Networks and Deep Learning, edition 2, chapter 0, pages 215-230, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-29642-0_6
    DOI: 10.1007/978-3-031-29642-0_6
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