Hybrid Intelligent Systems

1. Front Matter

   Pages i-xiv

   PDF

2. Overview of Intelligent Systems

   • Larry R. Medsker

   Pages 1-15

3. Research in Hybrid Intelligent Systems

   • Larry R. Medsker

   Pages 17-37

4. Expert Systems and Neural Networks

   • Larry R. Medsker

   Pages 39-56

5. Industrial Experience: The use of Hybrid Systems in the Power Industry

   • John Maclntyre, Peter Smith, Tom Harris

   Pages 57-74

6. Expert Networks: Theory and Applications

   • Susan I. Hruska, Tarina A. Whitfield

   Pages 75-93

7. Fuzzy Logic and Expert Systems

   • Larry R. Medsker

   Pages 95-105

8. Fuzzy Systems and Neural Networks

   • Larry R. Medsker

   Pages 107-126

9. Genetic Algorithms and Neural Networks

   • Larry R. Medsker

   Pages 127-143

10. Applications Using Hybrid Neural Networks with Fuzzy Logic and Genetic Algorithms

    • Robert E. Uhrig, Anna Loskiewicz-Buczak, Zhicaho Guo

    Pages 145-172

11. Genetic Algorithms and Fuzzy Systems

    • Larry R. Medsker

    Pages 173-185

12. Adaptive Control of an Exothermic Chemical Reaction System Using Fuzzy Logic and Genetic Algorithms

    • Charles L. Karr

    Pages 187-202

13. Genetic Algorithms and Expert Systems

    • Larry R. Medsker

    Pages 203-213

14. Hybrid Systems with Case-Based Reasoning

    • Larry R. Medsker

    Pages 215-225

15. Summary and the Future of Hybrid Intelligent Systems

    • Larry R. Medsker

    Pages 227-240

16. Back Matter

    Pages 241-298

    PDF

Hybrid Intelligent Systems summarizes the strengths and weaknesses of five intelligent technologies: fuzzy logic, genetic algorithms, case-based reasoning, neural networks and expert systems, reviewing the status and significance of research into their integration. Engineering and scientific examples and case studies are used to illustrate principles and application development techniques. The reader will gain a clear idea of the current status of hybrid intelligent systems and discover how to choose and develop appropriate applications. The book is based on a thorough literature search of recent publications on research and development in hybrid intelligent systems; the resulting 50-page reference section of the book is invaluable.
The book starts with a summary of the five major intelligent technologies and of the issues in and current status of research into them. Each subsequent chapter presents a detailed discussion of a different combination of intelligent technologies, along with examples and case studies. Four chapters contain detailed case studies of working hybrid systems. The book enables the reader to:

• Describe the important concepts, strengths and limitations of each technology;
• Recognize and analyze potential problems with the application of hybrid systems;
• Choose appropriate hybrid intelligent solutions;
• Understand how applications are designed with any of the approaches covered;
• Choose appropriate commercial development shells or tools. An invaluable reference source for those who wish to apply intelligent systems techniques to their own problems.

• adaptive control
• algorithms
• case-based reasoning
• control
• expert system
• fuzzy
• fuzzy logic
• fuzzy system
• fuzzy systems
• genetic algorithms
• intelligent systems
• neural networks

` ... 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)

• Department of Computer Science and Information Systems, The American University, USA

  Larry R. Medsker

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