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Computational Intelligence

Methods and Techniques

  • Textbook
  • © 2008

Overview

Authors:
  1. Leszek Rutkowski

    1. Department of Computer Engineering, Technical University of Czestochowa, 42-200, Poland

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  • Self-contained, easy accessible and comprehensive textbook for graduate students and researchers in computational intelligence

  • Well-organized modern approach to methods and techniques of intelligent calculations including examples and exercises in each chapter

  • Includes a preface by Jacek Zurada, president of IEEE Computational Intelligence Society

  • Rich and well structured compendium of information about computational intelligence

  • Topics include approximate and fuzzy sets, basic structures and methods of neural networks learning, grouping of data methods, Bayesian methods, evolutionary algorithms and decision tree algorithms

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Introduction

    Pages 1-5

  3. Selected issues of artificial intelligence

    Pages 7-23

  4. Methods of knowledge representation using rough sets

    Pages 25-61

  5. Methods of knowledge representation using type-1 fuzzy sets

    Pages 63-153

  6. Methods of knowledge representation using type-2 fuzzy sets

    Pages 155-186

  7. Neural networks and their learning algorithms

    Pages 187-264

  8. Evolutionary algorithms

    Pages 265-347

  9. Data clustering methods

    Pages 349-369

  10. Neuro-fuzzy systems of Mamdani, logical and Takagi-Sugeno type

    Pages 371-448

  11. Flexible neuro-fuzzy systems

    Pages 449-493

  12. Back Matter

    Pages 495-514
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Keywords

About this book

Publication of this book is a special event. This valuable title ?lls a se- ous gap in domestic science and technical literature. At the same time it introduces a reader to the most recent achievements in the quickly dev- oping branch of knowledge which the computational intelligence has been for several years. The ?eld, which is a subject of this book, is one of those important ?elds of science which enable to process information included in data and give their reasonable interpretation programmed by a user. Recent decades have brought a stormy development of computer te- niquesandrelatedcomputationalmethods.Togetherwiththeirappearance and quick progress, theoretical and applied sciences developed as well, - ablingtheusertofullyutilizenewlycreatedcomputationalpotentialandto getknowledgeoutofincreasingwealthofdata.Thedevelopmentofcom- tational intelligence is then strictly connected with the increase of available data as well as capabilities of their processing, mutually supportive factors. Without them the development of this ?eld would be almost impossible, and its application practically marginal. That is why these techniques have especially developed in recent years. The development of computational intelligence systems was inspired by observable and imitable aspects of intelligent activity of human being and nature. Nature when undertakes intelligent actions processes data in p- allel regulating and adjusting these actions through feedback mechanisms.

Authors and Affiliations

  • Department of Computer Engineering, Technical University of Czestochowa, 42-200, Poland

    Leszek Rutkowski

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