Developments in Soft Computing

Plenary Address.- How Intelligent Can a Mobile Robot Be?.- 1 Theoretical Development.- Hybrid Heuristics for Optimal Design of Artificial Neural Networks.- Efficient Image Sequence Analysis Using Fuzzy Techniques.- Automatic Generation of Fuzzy Rule-based Models from Data by Genetic Algorithms.- Resemblance Relations and Fuzzy Weak Orderings.- Fuzzy Control System with B-operations.- Roughness Indicator Fuzzy Set.- Dynamic Recognition States for Chaotic Neural Networks.- A Neural Network Phoneme Classification Based on Wavelet Features.- Fuzzy Symptoms and a Decision Support Index for the Early Diagnosis of Confusable Diseases.- Finding Diverse Examples Using Genetic Algorithms.- Evolving User Profiles to Reduce Internet Information Overload.- Learning Fuzzy Classification Rules from Data.- Increasing Diversity in Genetic Algorithms.- Modelling Non-Numeric Linguistic Variables.- 2 Application Exemplars.- A Preliminary Fuzzy Model to Identify Abnormal Cervical Smears Using Fourier Transform Infrared Spectroscopy.- Application of Soft-Computing Techniques in Modelling of Buildings.- Neuro-Fuzzy Adaptive Strategies Applied to Power System Stabilization.- Using Genetic Algorithms to Incorporate Taste into Diets.- The Application of Fuzzy Logic and Genetic Algorithms to Oil Exploration.- Symbolic and Numerical Regression: Experiments and Applications.- G. A. Optimisation of PID Controllers — Optimal Fitness Functions.- Fuzzy Logic for Behaviour Co-ordination and Multi-Agent Formation in RoboCup.- A Hierarchical Fuzzy Genetic Multi-Agent Architecture for Intelligent Buildings Sensing and Control.- The Use of Evolutionary and Fuzzy Models for Oncological Prognosis.- Evolving Protein Similarity Scoring Matrices Using Differential Evolution.- A Machine Process Cost EstimateUtilising Genetic Algorithms.