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?
