Riassunto
The book is a collection of papers presented in the United Kingdom at an international two day workshop on Soft Computing held at the De Montfort University. It consists of 38 papers representing the current interests in the fields of fuzzy logic, artificial neural networks and genetic algorithms. In particular there is a strong emphasis on the use of these techniques for applications that tackle real problems faced in industry. The strength of the work is that it is a snapshot of current important research interests in these areas, both from a research and application point of view. It will be of interest to researchers (both academic and from industry) as well as post graduate students who wish to see some of the more recent developments in the soft computing field.
Contenuti
Preface.- Artificial Neural Networks: C.A. Czarnecki: Towards Intelligent Mobile Robots.- O. Ciftcioglu: Wavelet Transform by Soft Computing.- C.R. Parikh, M.J. Pont, Y. Li, N.B. Jones: Investigating the Performance of MLP Classifiers Where Limited Training Data Are Available for Some Classes.- R. Thawonmas: A Neural Network Model for Projection Pursuit.- Y. Li, M.J. Pont, C.R. Parikh, N.B. Jones: Comparing the Performance of Three Neural Classifiers for Use in Embedded Applications.- S.J. Wooding: On the Application of Self-Organising Maps to the Exploration of Product Performance Measures.- Y. Li, M.J. Pont, C.R. Parikh, N.B. Jones: Using a Combination of RBFN, MLP and kNN Classifiers for Engine Misfire Detection.- N. Crook, C. Dobbyn, T.o. Scheper: Chaos as a Desirable Stable State of Artificial Neural Networks.- Hybrid Systems: A.R. Graves, C.A. Czarnecki: A Framework for the Development of Hybrid AI Control Systems.- A. Gegov, G.S. Virk, D. Azzi, B.P. Haynes, K.I. Alkadhimi: Soft-Computing Based Predicitve Modelling of Building Management Systems.- A.R. Ferreira da Silva: A Hybrid Evolutionary Approach to Best Basis Discrimination.- O. Babka, L.S. Io, C. Lei, P.M. Wa: Comparing GA and NN Classification Methods.- Evolutionary Computing: J. Kibalik, J. Lazanksy: Partially Randomised Crossover Operators.- C. Bowerman, C.-F. Tsai: The Dynamic Setting of Genetic Algorithm Parameters.- J. Dvorák, M. Seda, T. Vlácil: Job Shop Scheduling with Transfer Batches.- J.W. Davidson, D. Savic, G.A. Walters: Symbolic and Numerical Regression: A Hybrid Technique for Polynomial Approximators.- A. Petrovski, J. McCall: Computational Optimisation of Cancer Chemotherapies Using Genetic Algorithms.- I.J. Griffiths, Q.H. Mehdi, N.E. Gougin: A Visual Development Environment for Coevolving Agent Behaviour.- C.P. Wong, M.J. Pont: An Overview of an Evolutionary Algorithm Pattern Language.- L. Slama, M. Balate: Improvement of Decoding Schemas of Genetic Programming for Function Identification.- J.A. Bland: Memory-Based Heuristic Search and Optimal Structural Design.- S.H. Shami, M.C. Sinclair: Co-evolutionary Agents for Telecommunication Network Restoration.- T. Watson, P. Messer: Mutation Genes in Dynamic Environments.- A. Cruz, S. Mukherjee: Genetic Operators for Test Pattern Generation in Programmable Logic Arrays.- P.W.H. Smith: Controlling Code Growth in Genetic Programming.- S. Areibi: The Effect of Clustering and Local Search on Genetic Algortihms.- M. Oates, D. Corne, R. Loader: Visualisation of Non-Ordinal Multi-Dimensional Landscapes.- M.N. Howell: Learning Rule Design by Genetic Programming for a Discrete Stochastic Learning Automata.- O.A. Basir: A Task-Driven Genetic Algorithm for Maximizing Task Reliability in Multi-Sensor Systems.- Fuzzy Systems: K. Chakrabarty: On Bags and Fuzzy Sets.- W. Mees: Fuzzy Decision Fusion for Automatic Scene Analysis in a Command and Control System.- S.H. Gwanmeh, K.O. Jones, D. Williams: Robustness Study of an On-Line Application of a Self-Learning Fuzzy Logic Controller.- M.J. Allen, I.J. Griffiths, I.M. Coulson, Q.M. Mehdi, N.E. Gough: Efficient Tracking of Coloured Objects Using Fuzzy-Tuned Scanpaths.- L. Collantes, R. Roy, J. Madill: Steelmaking Process Evaluation Using a Fuzzy Expert System.- A.R.P. Borges, C.H, Antunes: Fuzzy Decision Aid in Multiple Objective Linear Programming.- A. Lotfi, J.B. Hull: Indirect Learning Fuzzy Controllers.- C. Fayad, P. Webb: Fuzzy Logic Based Collision Avoidance Algorithm for a Mobile Robot .- H.M. Yang, C.J. Anumba: Collaborative Decision Making in Construction - Potential Application Area for Fuzzy Systems?
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