Regularized Radial Basis Function Networks

Theory and Applications

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Last edited by MARC Bot
July 31, 2019 | History

Regularized Radial Basis Function Networks

Theory and Applications

  • 0 Ratings
  • 1 Want to read
  • 0 Currently reading
  • 0 Have read

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Publish Date
Publisher
Wiley-Interscience
Language
English
Pages
208

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Edition Availability
Cover of: Regularized Radial Basis Function Networks
Regularized Radial Basis Function Networks: Theory and Applications
2008, Wiley & Sons, Incorporated, John
in English
Cover of: Regularized radial basis function networks
Regularized radial basis function networks: theory and applications
2001, John Wiley
in English
Cover of: Regularized Radial Basis Function Networks
Regularized Radial Basis Function Networks: Theory and Applications
April 2, 2001, Wiley-Interscience
in English

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Book Details


First Sentence

"In the relatively recent field of artificial neural networks (ANNs), two leading classes of feedforward networks have emerged: the multilayer perceptron (MLP), usually with sigmoidal activation function and trained via the backpropagation algorithm, and the radial basis function network (RBFN), often with the ubiquitous Gaussian kernel."

ID Numbers

Open Library
OL7615614M
ISBN 10
0471353493
ISBN 13
9780471353492
Library Thing
369721
Goodreads
1407187

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
July 31, 2019 Edited by MARC Bot associate edition with work OL12327195W
August 6, 2010 Edited by IdentifierBot added LibraryThing ID
April 24, 2010 Edited by Open Library Bot Fixed duplicate goodreads IDs.
April 16, 2010 Edited by bgimpertBot Added goodreads ID.
April 29, 2008 Created by an anonymous user Imported from amazon.com record