Developments in Soft Computing

1. Front Matter

   Pages I-IX

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2. Plenary Address

   1. Front Matter

      Pages 1-1

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   2. How Intelligent Can a Mobile Robot Be?

      • Kevin Warwick

      Pages 3-11

3. Theoretical Development

   1. Front Matter

      Pages 13-13

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   2. Hybrid Heuristics for Optimal Design of Artificial Neural Networks

      • Ajith Abraham, Baikunth Nath

      Pages 15-22

   3. Efficient Image Sequence Analysis Using Fuzzy Techniques

      • M. J. Allen, Q. H. Mehdi, N. E. Gough, I. M. Coulson

      Pages 23-30

   4. Automatic Generation of Fuzzy Rule-based Models from Data by Genetic Algorithms

      • P. P. Angelov, R. A. Buswell, V. I. Hanby, J. A. Wright

      Pages 31-40

   5. Resemblance Relations and Fuzzy Weak Orderings

      • D. Boixader, J. Recasens

      Pages 41-47

   6. Fuzzy Control System with B-operations

      • Bohdan S. Butkiewicz

      Pages 48-55

   7. Roughness Indicator Fuzzy Set

      • Kankana Chakrabarty

      Pages 56-61

   8. Dynamic Recognition States for Chaotic Neural Networks

      • Nigel Crook, Tjeerd Olde Scheper

      Pages 62-72

   9. A Neural Network Phoneme Classification Based on Wavelet Features

      • O. Farooq, S. Datta

      Pages 73-78

   10. Fuzzy Symptoms and a Decision Support Index for the Early Diagnosis of Confusable Diseases

       • P. R. Innocent

       Pages 79-91

   11. Finding Diverse Examples Using Genetic Algorithms

       • Colin G. Johnson

       Pages 92-99

   12. Evolving User Profiles to Reduce Internet Information Overload

       • John Pagonis, Mark C. Sinclair

       Pages 100-107

   13. Learning Fuzzy Classification Rules from Data

       • Hans Roubos, Magne Setnes, Janos Abonyi

       Pages 108-115

   14. Increasing Diversity in Genetic Algorithms

       • Tim Watson, Peter Messer

       Pages 116-123

   15. Modelling Non-Numeric Linguistic Variables

       • Jon Williams, Nigel Steele, Helen Robinson

       Pages 124-131

4. Application Exemplars

   1. Front Matter

      Pages 133-133

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   2. A Preliminary Fuzzy Model to Identify Abnormal Cervical Smears Using Fourier Transform Infrared Spectroscopy

      • Robert Adama-Acquah, Jonathan Garibaldi, Ian Symonds

      Pages 135-142

Soft Computing has come of age. In particular, Artificial Neural Networks, Fuzzy Logic and Evolutionary Computing now play an important role in many domains where traditional techniques have been found wanting. As this volume confirms, hybrid solutions that combine more than one of the Soft Computing approaches are particularly successful in many problem areas. This volume contains papers presented at the International Conference on Recent Advances in Soft Computing 2000 at De Montfort University in Leicester. The contributions cover both theoretical developments and practical applications in the various areas of Soft Computing.

• Artificial Neural Networks
• Evolutionary Computing
• Fuzzy
• Fuzzy Logic
• Fuzzy-Logik
• artificial neural network
• cognition
• evolutionary computation
• evolutionäres Rechnen
• fuzzy control
• künstliche neuronale Netze
• learning
• modeling
• optimization
• robot

• Department of Computer Science, De Montfort University, Leicester, UK

  Robert John, Ralph Birkenhead

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