Computational Intelligence. Theory and Applications

1. Front Matter

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2. A global representation scheme for genetic algorithms

   • J. J. Collins, Malachy Eaton

   Pages 1-15

3. Genetic algorithms, schemata construction and statistics

   • Alexandru Agapie, Doina Caragea

   Pages 16-23

4. Adaptive non-uniform mutation for genetic algorithms

   • André Neubauer

   Pages 24-34

5. Structure identification of functional-type fuzzy models with application to modelling nonlinear dynamic plants

   • P. Kortmann, H. Unbehauen

   Pages 35-45

6. Identification of systems using radial basis networks feedbacked with FIR filters

   • Luciano Boquete, Rafael Barea, Ricardo García, Manuel Mazo, J. A. Bernad

   Pages 46-51

7. A novel neurocomputing approach to nonlinear stochastic state estimation

   • M. B. Menhaj, F. Rajaii Salmasi

   Pages 52-60

8. A toolset for the design of analogous fuzzy-hardware

   • S. Triebel, J. Kelber, G. Scarbata

   Pages 61-68

9. Genetic algorithms with optimal structure applied to Evolvable HardWare (EHW)

   • Dan Mihaila

   Pages 69-73

10. Position control system with fuzzy microprocessor AL220

    • Bohdan Butkiewicz

    Pages 74-81

11. Fuzzy-neural computing systems: Recent developments and future directions

    • Madan M. Gupta

    Pages 82-91

12. Optimizing the self-organizing-process of topology maps

    • Karin Haese

    Pages 92-100

13. Syntactical Self-Organizing Map

    • Ovidiu Grigore

    Pages 101-109

14. On-line learning based on adaptive similarity and fixed size rule base

    • Joana Matos Dias, António Dourado Correia

    Pages 110-121

15. Ability of Fuzzy Constraint Networks to reduce the dynamic of changes in product development

    • Walter Eversheim, Axel Roggatz, Robert E. Young

    Pages 122-140

16. A novel neural network technique for modelling data containing multiple functions

    • Owen M. Lewis, J. Andrew Ware

    Pages 141-149

17. Using Genetic Engineering to find modular structures and activation functions for architectures of Artificial Neural Networks

    • Christoph M. Friedrich, Claudio Moraga

    Pages 150-161

18. Genetic Algorithms for solving Systems of Fuzzy Relational Equations

    • Marius Giuclea, Alexandru Agapie

    Pages 162-167

19. On the chaining of fuzzy IF-THEN rule bases interpreted by the principle FATI II. The case of non-singleton inputs

    • Karl-Heinz Temme, Helmut Thiele

    Pages 168-178

20. Chaining syllogism applied to fuzzy IF-THEN rules and rule bases

    • Christian Igel, Karl-Heinz Temme

    Pages 179-188

This book constitutes the refereed proceedings of the International Conference on Computational Intelligence held in Dortmund, Germany, as the 5th Fuzzy Days, in April 1997.
Besides three invited contributions, the book presents 53 revised full papers selected from a total of 130 submissions. Also included are 35 posters documenting a broad scope of applications of computational intelligence techniques in a variety of areas. The volume addresses all current issues in computational intelligence, e.g. fuzzy logic, fuzzy control, neural networks, evolutionary algorithms, genetic programming, neuro-fuzzy systems, adaptation and learning, machine learning, etc.

• algorithm
• algorithms
• computational intelligence
• evolution
• evolutionary algorithm
• fuzzy
• fuzzy control
• fuzzy logic
• genetic programming
• intelligence
• learning
• logic
• machine learning
• neural network
• programming
• complexity

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