Developments in Soft Computing [Paperback]

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.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.Pleanary Address: K. Warwick: How Intelligent Can a Mobile Robot Be? Theoretical Development:A. Abraham, B. Nath: Hybrid Heuristics for Optimal Design of Artificial Neural Networks.- M.J. Allen, Q.H. Mehdi, N.E. Gough, I.M. Coulson: Efficient Image Sequence Analysis Using Fuzzy Techniques.- P.P. Angelov, R.A. Buswell, V.I. Hanby, J.A. Wright: Automatic Generation of Fuzzy Rule-based Models from Data by Genetic Algorithms.- D. Boixader, J. Recasens: Resemblance Relations and Fuzzy Weak Orderings.- B.S. Butkiewicz: Fuzzy Control System with B-operations.- K. Chakrabarty: Roughness Indicator Fuzzy Set.- N. Crook, T.O. Scheper: Dynamic Recognition States for Chaotic Neural Networks.- O. Farooq, S. Datta: A Neural Networl“7