Innovations in ART Neural Networks

  • Lakhmi C. Jain
  • Beatrice Lazzerini
  • Ugur Halici

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 43)

Table of contents

  1. Front Matter
    Pages i-xii
  2. A. Filippidis, M. Russo, L. C. Jain
    Pages 1-16
  3. M. Blume, D. A. Van Blerkom
    Pages 27-54
  4. C. P. Lim, R. F. Harrison
    Pages 167-188
  5. T. Serrano-Gotarredona, B. Linares-Barranco
    Pages 189-253
  6. Back Matter
    Pages 255-259

About this book


In the last two decades the artificial neural networks have been refined and widely used by the researchers and application engineers. We have not witnessed such a large degree of evolution in any other artificial neural network as in the Adaptive Resonance Theory (ART) neural network. The ART network remains plastic, or adaptive, in response to significant events and yet remains stable in response to irrelevant events. This stability-plasticity property is a great step towards realizing intelligent machines capable of autonomous learning in real time environment.
The main aim of this book is to report a very small sample of the research on the evolution of ART neural network and its applications. Interested readers may refer literature for many more innovations in ART such as Fuzzy ART, ART2, ART2-a, ARTMAP, ARTMAP-PI, ARTMAP-DS, Gaussian ARTMAP, EXACT ART, and ART-EMAP.


Adaptive Resonance Theory Extension Fuzzy Logik Mapping algorithms artificial neural network evolution fuzzy logic innovation learning learning systems networks neural networks optimization time

Editors and affiliations

  • Lakhmi C. Jain
    • 1
  • Beatrice Lazzerini
    • 2
  • Ugur Halici
    • 3
  1. 1.Knowledge-Based Intelligent Engineering Systems CentreUniversity of South AustraliaAdelaide, Mawson LakesSouth Australia
  2. 2.Dipartimento di Ingegneria della InformazioneUniversity of PisaPisaItaly
  3. 3.Department of Electrical EngineeringMiddle East Technical UniversityAnkaraTurkey

Bibliographic information

  • DOI
  • Copyright Information Physica-Verlag Heidelberg 2000
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2469-8
  • Online ISBN 978-3-7908-1857-4
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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