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Practical Applications of Computational Intelligence Techniques

  • Book
  • © 2001

Overview

Editors:
  1. Lakhmi Jain

    1. University of South Australia, Adelaide, Australia

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    You can also search for this editor in PubMed   Google Scholar

  2. Philippe Wilde

    1. University of London, London, UK

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: International Series in Intelligent Technologies (ISIT, volume 16)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. An Introduction to Computational Intelligence Paradigms

    • A. Konar, L. C. Jain
    Pages 1-64

  3. Networked Virtual Park

    • N. Magnenat-Thalmann, C. Joslin, U. Berner
    Pages 65-88

  4. Commercial Coin Recognisers Using Neural and Fuzzy Techniques

    • J. M. Moreno, J. Madrenas, J. Cabestany
    Pages 89-120

  5. Fuzzy Techniques in Intelligent Household Appliances

    • M. Mraz, N. Zimic, I. Lapanja, J. Virant, B. Skrt
    Pages 121-145

  6. Neural Prediction in Industry: Increasing Reliability through Use of Confidence Measures and Model Combination

    • P. J. Edwards, G. Papadopoulos, A. F. Murray
    Pages 147-175

  7. Handling the Back Calculation Problem in Aerial Spray Models Using a Genetic Algorithm

    • W. D. Potter, W. Bi, D. Twardus, H. Thistle, M. J. Twery, J. Ghent et al.
    Pages 177-222

  8. Genetic Algorithm Optimization of a Filament Winding Process Modeled in WITNESS

    • E. Wilson, C.L. Karr, S. Messimer
    Pages 223-239

  9. Genetic Algorithm for Optimizing the Gust Loads for Predicting Aircraft Loads and Dynamic Response

    • R. Mehrotra, C. L. Karr, T. A. Zeiler
    Pages 241-267

  10. A Stochastic Dynamic Programming Technique for Property Market Timing

    • T. C. Chin, G. T. Mills
    Pages 269-298

  11. A Hybrid Approach to Breast Cancer Diagnosis

    • M. Sordo, H. Buxton, D. Watson
    Pages 299-330

  12. Artificial Neural Networks as a Computer Aid for Lung Disease Detection and Classification in Ventilation-Perfusion Lung Scans

    • G. D. Tourassi, E. D. Frederick, R. E. Coleman
    Pages 331-353

  13. Neural Network for Classification of Focal Liver Lesions in Ultrasound Images

    • H. Yoshida
    Pages 355-378

  14. Back Matter

    Pages 379-381
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Keywords

About this book

Computational intelligence paradigms have attracted the growing interest of researchers, scientists, engineers and application engineers in a number of everyday applications. These applications are not limited to any particular field and include engineering, business, banking and consumer electronics. Computational intelligence paradigms include artificial intelligence, artificial neural networks, fuzzy systems and evolutionary computing. Artificial neural networks can mimic the biological information processing mechanism in a very limited sense. Evolutionary computing algorithms are used for optimisation applications, and fuzzy logic provides a basis for representing uncertain and imprecise knowledge.
Practical Applications of Computational Intelligence Techniques contains twelve chapters providing actual application of these techniques in the real world. Such examples include, but are not limited to, intelligent household appliances, aerial spray models, industrial applications and medical diagnostics and practice. This book will be useful to researchers, practicing engineers/scientists and students, who are interested in developing practical applications in a computational intelligence environment.

Editors and Affiliations

  • University of South Australia, Adelaide, Australia

    Lakhmi Jain

  • University of London, London, UK

    Philippe Wilde

Bibliographic Information

  • Book Title: Practical Applications of Computational Intelligence Techniques

  • Editors: Lakhmi Jain, Philippe Wilde

  • Series Title: International Series in Intelligent Technologies

  • DOI: https://doi.org/10.1007/978-94-010-0678-1

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2001

  • Hardcover ISBN: 978-0-7923-7320-9Published: 30 April 2001

  • Softcover ISBN: 978-94-010-3868-3Published: 14 September 2012

  • eBook ISBN: 978-94-010-0678-1Published: 06 December 2012

  • Series ISSN: 1382-3434

  • Edition Number: 1

  • Number of Pages: XV, 381

  • Topics: Artificial Intelligence, Mathematical Logic and Foundations

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