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Innovative Teaching and Learning

Knowledge-Based Paradigms

  • Lakhmi C. Jain

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 36)

Table of contents

About this book

Introduction

Presented are innovative teaching and learning techniques for the teaching of knowledge-based paradigms. The main knowledge-based intelligent paradigms are expert systems, artificial neural networks, fuzzy systems and evolutionary computing. Expert systems are designed to mimic the performance of biological systems. Artificial neural networks can mimic the biological information processing mechanism in a very limited sense. Evolutionary computing algorithms are used for optimization applications, and fuzzy logic provides a basis for representing uncertain and imprecise knowledge.

Keywords

artificial intelligence artificial neural network evolution evolutionary computation expert system fuzzy fuzzy logic fuzzy system information information processing intelligence learning modeling networks optimization

Editors and affiliations

  • Lakhmi C. Jain
    • 1
  1. 1.KES CentreUniversity of South AustraliaAdelaide, Mawson LakesAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1868-0
  • Copyright Information Physica-Verlag Heidelberg 2000
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2465-0
  • Online ISBN 978-3-7908-1868-0
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site