Skip to main content
SpringerLink
Log in
Book cover

Innovations in ART Neural Networks

  • Book
  • © 2000

Overview

Editors:
  1. Lakhmi C. Jain

    1. Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Adelaide, Mawson Lakes, South Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Beatrice Lazzerini

    1. Dipartimento di Ingegneria della Informazione, University of Pisa, Pisa, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Ugur Halici

    1. Department of Electrical Engineering, Middle East Technical University, Ankara, Turkey

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (8 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Novel Extension of ART2 in Surface Landmine Detection

    • A. Filippidis, M. Russo, L. C. Jain
    Pages 1-16

  3. An Efficient Mapping of Fuzzy Art Onto a Neural Architecture

    • M. Blume
    Pages 17-25

  4. Fuzzy Artmap Modifications for Intersecting Class Distributions

    • M. Blume, D. A. Van Blerkom
    Pages 27-54

  5. Supervised Adaptive Resonance Theory and Rules

    • A.-H. Tan
    Pages 55-86

  6. Incremental Learning and Optimization of Hierarchical Clusterings with Art-Based Modular Networks

    • G. Bartfai, R. White
    Pages 87-131

  7. Art-Based Autonomous Learning Systems: Part I — Architectures and Algorithms

    • C. P. Lim, R. F. Harrison
    Pages 133-166

  8. Art-Based Autonomous Learning Systems: Part II — Applications

    • C. P. Lim, R. F. Harrison
    Pages 167-188

  9. Adaptive Resonance Theory Microchips

    • T. Serrano-Gotarredona, B. Linares-Barranco
    Pages 189-253

  10. Back Matter

    Pages 255-259
    Download chapter PDF
Back to top

Keywords

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.

Editors and Affiliations

  • Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Adelaide, Mawson Lakes, South Australia

    Lakhmi C. Jain

  • Dipartimento di Ingegneria della Informazione, University of Pisa, Pisa, Italy

    Beatrice Lazzerini

  • Department of Electrical Engineering, Middle East Technical University, Ankara, Turkey

    Ugur Halici

Bibliographic Information

  • Book Title: Innovations in ART Neural Networks

  • Editors: Lakhmi C. Jain, Beatrice Lazzerini, Ugur Halici

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-7908-1857-4

  • Publisher: Physica Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2000

  • Hardcover ISBN: 978-3-7908-1270-1Published: 06 March 2000

  • Softcover ISBN: 978-3-7908-2469-8Published: 21 October 2010

  • eBook ISBN: 978-3-7908-1857-4Published: 05 June 2013

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: XII, 258

  • Topics: Artificial Intelligence, Complexity, IT in Business

Publish with us

Policies and ethics

Back to top

Search

Navigation