Constructive Neural Networks

  • Leonardo Franco
  • David A. Elizondo
  • José M. Jerez

Part of the Studies in Computational Intelligence book series (SCI, volume 258)

Table of contents

  1. Front Matter
  2. Maria do Carmo Nicoletti, João R. Bertini Jr., David Elizondo, Leonardo Franco, José M. Jerez
    Pages 1-23
  3. Adrian Horzyk
    Pages 83-101
  4. Engelbert Mephu Nguifo, Norbert Tsopze, Gilbert Tindo
    Pages 103-121
  5. João Roberto Bertini Jr., Maria do Carmo Nicoletti
    Pages 145-169
  6. David A. Elizondo, Juan M. Ortiz-de-Lazcano-Lobato, Ralph Birkenhead
    Pages 171-192
  7. José L. Subirats, Leonardo Franco, Ignacio Molina, José M. Jerez
    Pages 193-206
  8. Robert Ollington, Peter Vamplew, John Swanson
    Pages 207-224
  9. Andreas Huemer, David Elizondo, Mario Gongora
    Pages 225-242
  10. Héctor F. Satizábal, Andres Pérez-Uribe, Marco Tomassini
    Pages 243-260
  11. Miguel Arturo Barreto-Sanz, Andrés Pérez-Uribe, Carlos-Andres Peña-Reyes, Marco Tomassini
    Pages 261-279
  12. Back Matter

About this book

Introduction

The book is a collection of invited papers on Constructive methods for Neural networks. Most of the chapters are extended versions of works presented on the special session on constructive neural network algorithms of the 18th International Conference on Artificial Neural Networks (ICANN 2008) held September 3-6, 2008 in Prague, Czech Republic.

The book is devoted to constructive neural networks and other incremental learning algorithms that constitute an alternative to standard trial and error methods for searching adequate architectures. It is made of 15 articles which provide an overview of the most recent advances on the techniques being developed for constructive neural networks and their applications. It will be of interest to researchers in industry and academics and to post-graduate students interested in the latest advances and developments in the field of artificial neural networks.

Keywords

Constructive Algorithms algorithm algorithms artificial neural network calculus computational intelligence control fuzzy intelligence learning learning algorithm neural network neural networks reinforcement learning training

Editors and affiliations

  • Leonardo Franco
    • 1
  • David A. Elizondo
    • 2
  • José M. Jerez
    • 1
  1. 1.Dept. of Computer ScienceUniversity of Malaga MálagaSpain
  2. 2.Centre for Computational Intelligence, School of ComputingDe Montfort University, The Gateway LeicesterUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-04512-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-04511-0
  • Online ISBN 978-3-642-04512-7
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book