Soft Computing in Industrial Applications

This book contains recent theoretical innovations and a comprehensive collection of industrial applications in the emerging field of Soft Computing. Soft computing is a new form of artificial intelligence and it consists of four core methodologies: Fuzzy Computing, Neuro Computing, Evolutionary Computation, and Probabilistic Computing. These individual techniques are clearly complementary or synergistic rather than competitive. Therefore, it is a common practice to combine two or three methodologies when solving complex problems. Also the systematic fusion of soft computing and hard computing is a highly potential alternative to be considered. Soft computing methodologies are suitable for various real-world applications, because the available information and system knowledge are often imprecise, un­ certain, or partially even incorrect. To handle such demanding conditions and obtain the required robustness with pure hard computing would typically be either very difficult or expensive. This book is a unique collection of technical articles providing a thorough overview of the state-of-the-art theory and industrial applications. The core articles on evolutionary computation, fuzzy computing, and neuro computing are of particular interest to researchers and practicing engineers. Front Matter....Pages I-2 Front Matter....Pages 3-4 Fuzzy Process Model Development with Missing Data....Pages 5-14 Decomposed Fuzzy Models for Modelling and Identification of Dynamic Systems....Pages 15-28 Investigation of Least Square Fuzzy Identification via a Virtual Higher Resolution Fuzzy Model....Pages 29-37 Fuzzy Morphologies Revisited....Pages 39-48 A Design Method of Stable Non-separate Controller Using Symbolic Expressions....Pages 49-61 Adjustment of Identified Fuzzy Measures....Pages 63-77 Design and Application of Block-Oriented Fuzzy Models — Fuzzy Hammerstein Model....Pages 79-88 Evolving Fuzzy Detectives: An Investigation into the Evolution of Fuzzy Rules....Pages 89-106 Fuzzy Logic Two-phase Traffic Signal Control for Coordinated One-way Streets....Pages 107-116 Clustering Models Extracting Dynamic and Non-Dynamic Changes for 3-Way Data....Pages 117-127 Front Matter....Pages 129-130 Identification of Nonlinear Multivariable Processes by Neural Networks: Open-Loop and Closed-Loop Case Studies....Pages 131-140 Modelling Batch Learning of Restricted Sets of Examples....Pages 141-150 Neural Networks with Hierarchically Structured Information and its Unlearning Effects....Pages 151-160 Discussion of Reliability Criterion for US Dollar Classification by LVQ....Pages 161-170 Facility Location Using Neural Networks....Pages 171-179 Building Maps of Workspace for Autonomous Mobile Robots Using Self-Organizing Neural Networks....Pages 181-190 Neural Network Parameter Estimation and Dimensionality Reduction in Power System Voltage Stability Assessment....Pages 191-202 Neural Networks-based Friction Compensation with Application in Servo Motor Systems....Pages 203-214 Linear and neural dynamical models for energy flows prediction in facility systems....Pages 215-224 An Optimal VQ Codebook Design Using the Co-adaptation of Learning and Evolution....Pages 225-239 Front Matter....Pages 241-241 An Emergence of Coordinated Communication in Populations of Agents with Evolution Simulated by Genetic Algorithm....Pages 243-263 Migration and Population Dynamics in Distributed Coevolutionary Algorithm....Pages 265-280 Royal Road Encodings and Schema Propagation in Selective Crossover....Pages 281-292 An evolutionary approach for the design of natural language parser....Pages 293-297 GA-Based Identification of Unknown Structured Mechatronics System....Pages 299-308 Integrating genetic algorithms and interactive simulations for airbase logistics planning....Pages 309-317 Evaluation of Virtual Cities Generated by using a Genetic Algorithm....Pages 319-328 Front Matter....Pages 329-330 Minimizing Real Functions by Scout....Pages 331-338 Qualitative Similarity....Pages 339-348 Survival Probability for Uniform Model on Binary Tree: Critical Behavior and Scaling....Pages 349-354 Stochastic modelling of multifractal exchange rates....Pages 355-369 Bayesian State Space Modeling for Nonlinear Nonstationary Time Series....Pages 371-382 Noise Induced Congestion in Coupled Map Optimal Velocity Model of Traffic Flow....Pages 383-391 Geometrical View on Mean-Field Approximation for Solving Optimization Problems....Pages 393-399 Probabilistic Computational Method in Image Restoration based on Statistical-mechanical Technique....Pages 401-414 Bayesian Neural Networks: Case Studies in Industrial Applications....Pages 415-424 Front Matter....Pages 425-425 Multivariable Predictive Control Based on Neural Network Model and Simplex-Evolutionary Hybrid Optimization....Pages 427-436 Permeability Prediction in Petroleum Reservoir using a Hybrid System....Pages 437-446 A Performance Comparison of Chaotic Simulated Annealing Models for Solving the N -queen Problem....Pages 447-458 Study on the Idiotypic Network Model for Feature Extraction of Patterns....Pages 459-468 Front Matter....Pages 469-469 Rough Set Based Uncertainty Management for Spatial Databases and Geographical Information Systems....Pages 471-479 Soft Computing for Evolutionary Information Systems — Potentials of Rough Sets....Pages 481-494 Towards Rough Set Based Concept Modeler....Pages 495-505 Front Matter....Pages 507-507 Still Images Compression Using Fractal Approximation, Wavelet Transform and Vector Quantization....Pages 509-517 N-dimensional Frameworks for the Application of Soft Computing to Image Processing....Pages 519-529 Computational Autopoiesis for Texture Analysis....Pages 531-539 Novel Approach in Watermarking of Digital Image....Pages 541-550 A Fuzzy Region-Growing Algorithm for Segmentation of Natural Images....Pages 551-559 Front Matter....Pages 561-561 Design Issues of Electric Agent for Realizing Biological and Social Coordination with Human and Environment....Pages 563-573 An Emergent Approach for System Designs....Pages 575-582 Training of Fuzzy Rules in the Freehand Curve Identifier FSCI....Pages 583-592 Intelligent real-time control of moulding mixtures composition in foundries....Pages 593-602 Front Matter....Pages 603-603 Test Feature Classifiers and a 100% Recognition Rate....Pages 605-613 Evaluation of the Modified Parzen Classifier in Small Training Sample Size Situations....Pages 615-624 Soft Limiting in Adaptive Notch Filtering....Pages 625-633 An Algorithm for Induction of Possibilistic Set-Valued Rules by Finding Prime Disjunctions....Pages 635-648 Dataflow Realizes a Diagrammatic Programming Method....Pages 649-658 DIFFOBJ — A Game for Exercising Teams of Agents....Pages 659-667 Back Matter....Pages 669-670 This book contains a selection of papers that were initially presented at the 4th On-Line World Conference on Soft Computing in Industrial Applications that was held in September 1999. Soft Computing provides various methodologies for developing intelligent systems that offer competitive solutions to real world problems. This book is comprised of a unique collection of papers that provide a comprehensive overview of state-of-the-art-theory and sucessful industrial applications of soft computing around the world. It is written by some of the leading researchers in this field. This book is aimed at researchers and professional engineers who are engaged in developing intelligent systems as well as graduate students in science and engineering.