Description

Book Synopsis

1 Overview of Intelligent Systems.- 1.1 Expert Systems.- 1.2 Neural Networks.- 1.3 Fuzzy Systems.- 1.4 Genetic Algorithms.- 1.5 Case-Based Reasoning.- 1.6 Intelligent Information Systems.- 1.7 Summary.- 1.8 References for Further Reading.- 2 Research in Hybrid Intelligent Systems.- 2.1 Models for Integrating Intelligent Systems.- 2.2 Hybrid Reasoning Issues and Research Areas.- 2.3 Development Tools.- 2.4 Future of Research and Development.- 2.5 References for Further Reading.- 3 Expert Systems and Neural Networks.- 3.1 Expert System and Neural Network Technologies.- 3.2 Hybrid Neural Network and Expert Systems.- 3.3 Development Tools and Environments.- 3.4 Conclusions and Assessment of the Future.- 3.5 References for Further Reading.- 4 Industrial Experience: The Use of Hybrid Systems in the Power Industry.- 4.1 The Changing Face of the Power Industry in the United Kingdom.- 4.2 Artificial Intelligence in the Power Industry.- 4.3 Blyth Power Station.- 4.4 Condition Monitoring.- 4.5 T

Trade Review

` ... is very readable, with clear illustrations, and provides an insightful, informative, and up-to-date account of the basic ideas underlying hybrid intelligent systems. ... provides a good source for gaining a better understanding of hybrid systems.'
Engineering Applications Artificial Intelligence, 10:1 (1996)

Table of Contents

Foreword; L.A. Zadeh. Preface. 1. Overview of Intelligent Systems. 2. Research in Hybrid Intelligent Systems. 3. Expert Systems and Neural Networks.4. Industrial Experience: The Use of Hybrid Systems in the Power Industry. 5. Expert Networks. 6. Fuzzy Logic and Expert Systems. 7. Fuzzy Systems and Neural Networks. 8. Genetic Algorithms and Neural Networks. 9. Applications Using Hybrid Neural Networks with Fuzzy Logic and Genetic Algorithms. 10. Genetic Algorithms and Fuzzy Systems. 11. Adaptive Control of an Exothermic Chemical Reaction System Using Fuzzy Logic and Genetic Algorithms. 12. Genetic Algorithms and Expert Systems. 13. Hybrid Systems with Case-Based Reasoning. 14. Summary and the Future of Hybrid Intelligent Systems. References. Index.

Hybrid Intelligent Systems

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    A Hardback by Larry R. Medsker

    £999.99

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      Book details

      Publisher Springer Nature
      Published 30 June 1995
      ISBN-13 9780792395881
      978-0792395881
      ISBN-10 0792395883

      Description

      Book Synopsis

      1 Overview of Intelligent Systems.- 1.1 Expert Systems.- 1.2 Neural Networks.- 1.3 Fuzzy Systems.- 1.4 Genetic Algorithms.- 1.5 Case-Based Reasoning.- 1.6 Intelligent Information Systems.- 1.7 Summary.- 1.8 References for Further Reading.- 2 Research in Hybrid Intelligent Systems.- 2.1 Models for Integrating Intelligent Systems.- 2.2 Hybrid Reasoning Issues and Research Areas.- 2.3 Development Tools.- 2.4 Future of Research and Development.- 2.5 References for Further Reading.- 3 Expert Systems and Neural Networks.- 3.1 Expert System and Neural Network Technologies.- 3.2 Hybrid Neural Network and Expert Systems.- 3.3 Development Tools and Environments.- 3.4 Conclusions and Assessment of the Future.- 3.5 References for Further Reading.- 4 Industrial Experience: The Use of Hybrid Systems in the Power Industry.- 4.1 The Changing Face of the Power Industry in the United Kingdom.- 4.2 Artificial Intelligence in the Power Industry.- 4.3 Blyth Power Station.- 4.4 Condition Monitoring.- 4.5 T

      Trade Review

      ` ... is very readable, with clear illustrations, and provides an insightful, informative, and up-to-date account of the basic ideas underlying hybrid intelligent systems. ... provides a good source for gaining a better understanding of hybrid systems.'
      Engineering Applications Artificial Intelligence, 10:1 (1996)

      Table of Contents

      Foreword; L.A. Zadeh. Preface. 1. Overview of Intelligent Systems. 2. Research in Hybrid Intelligent Systems. 3. Expert Systems and Neural Networks.4. Industrial Experience: The Use of Hybrid Systems in the Power Industry. 5. Expert Networks. 6. Fuzzy Logic and Expert Systems. 7. Fuzzy Systems and Neural Networks. 8. Genetic Algorithms and Neural Networks. 9. Applications Using Hybrid Neural Networks with Fuzzy Logic and Genetic Algorithms. 10. Genetic Algorithms and Fuzzy Systems. 11. Adaptive Control of an Exothermic Chemical Reaction System Using Fuzzy Logic and Genetic Algorithms. 12. Genetic Algorithms and Expert Systems. 13. Hybrid Systems with Case-Based Reasoning. 14. Summary and the Future of Hybrid Intelligent Systems. References. Index.

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