Soft Computing in Industrial Applications / Edition 1by Yukinori Suzuki, Seppo J. Ovaska, Takeshi Furuhashi, Rajkumar Roy
Pub. Date: 03/15/2000
Publisher: Springer London
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
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.
- Springer London
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- 9.21(w) x 6.14(h) x 1.56(d)
Table of Contents
1: Fuzzy Computing.- Fuzzy Process Model Development with Missing Data.- Decomposed Fuzzy Models for Modelling and Identification of Dynamic Systems.- Investigation of Least Square Fuzzy Identification via a Virtual Higher Resolution Fuzzy Model.- Fuzzy Morphologies Revisited.- A Design Method of Stable Non-separate Controller Using Symbolic Expressions.- Adjustment of Identified Fuzzy Measures.- Design and Application of Block-Oriented Fuzzy Models — Fuzzy Hammerstein Model.- Evolving Fuzzy Detectives: An Investigation into the Evolution of Fuzzy Rules.- Fuzzy Logic Two-phase Traffic Signal Control for Coordinated One-way Streets.- Clustering Models Extracting Dynamic and Non-Dynamic Changes for 3-Way Data.- 2: Neuro Computing.- Identification of Nonlinear Multivariable Process by Neural Networks: Open-loop and Closed-Loop Case Studies.- Modelling Batch Learning of Restricted Sets of Examples.- Neural Networks with Hierarchically Structured Information and its Unlearning Effects.- Discussion of Reliability Criterion for US Dollar Classification by LVQ.- Facility Location Using Neural Networks.- Building Maps of Workspace for Autonomous Mobile Robots Using Self-Organizing Neural Network.- Neural Network Parameter Estimation and Dimensionality Reduction in Power System Voltage Stability Assessment.- Neural Networks-based Friction Compensation with Application in Servo Motor Systems.- Linear and Neural Dynamical Models for Energy Flows Prediction in Facility Systems.- An Optimal VQ Codebook Design Using the Co-adaptation of Learning and Evolution.- 3: Evolutionary Computation.- An Emergence of Coordinated Communication in Populations of Agents with Evolution Simulated by Genetic Algorithm.- Migration and Population Dynamics in Distributed Coevolutionary Algorithm.- Royal Road Encodings and Schema Propagation in Selective Crossover.- An Evolutionary Approach for the Design of Natural Language Parser.- GA-Based Identification of Unknown Structured Mechatronics System.- Integrating Genetic Algorithms and Interactive Simulations for Airbase Logistics Planning.- Evaluation of Virtual Cities Generated by Using a Genetic Algorithm.- 4: Probabilistic Computing.- Minimizing Real Functions by Scout.- Qualitative Similarity.- Survival Probability for Uniform Model on Binary Tree: Critical Behavior and Scaling.- Shastic Modelling of Multifractal Exchange Rates.- Bayesian State Space Modeling for Nonlinear Nonstationary Time Series.- Noise Induced Congestion in Coupled Map Optimal Velocity Model of Traffic Flow.- Geometrical View on Mean-Field Approximation for Solving Optimization Problems.- Probabilistic Computational Method in Image Restoration Based on Statistical-Mechanical Technique.- Bayesian Neural Networks: Case Studies in Industrial Applications.- 5: Hybrid Methods, Chaos, and Immune Networks.- Multivariable Predictive Control Based on Neural Network Model and Simplex-Evolutionary Hybrid Optimization.- Permeability Prediction in Petroleum Reservoir using a Hybrid System.- A Performance Comparison of Chaotic Simulated Annealing Models for Solving the N-Queen Problem.- Study on the Idiotypic Network Model for the Feature Extraction of Patterns.- 6: Rough Sets.- Rough Set Based Uncertainty Management for Spatial Databases and Geographical Information Systems.- Soft Computing for Evolutionary Information Systems — Potentials of Rough Sets.- Towards Rough Set Based Concept Modeler.- 7: Image Processing.- Still Images Compression Using Fractal Approximation, Wavelet Transform and Vector Quantization.- N-dimensional Frameworks for the Application of Soft Computing to Image Processing.- Computational Autopoiesis for Texture Analysis.- Novel Approach in Watermarking of Digital Image.- A Fuzzy Region-Growing Algorithm for Segmentation of Natural Images.- 8: Human Interfaces.- Design Issue of Electric Agent for Realizing Biological and Social Coordination with Human and Environment.- An Emergent Approach for System Designs.- Training of Fuzzy Rules in the Freehand Curve Identifier FSCI.- Intelligent Real-Time Control of Moulding Mixtures Composition in Foundries.- 9: New Frontiers of Soft Computing.- Test Feature Classifiers and a 100 % Recognition Rate.- Evaluation of the Modified Parzen Classifier in Small Training Sample Size Situations.- Soft Limiting in Adaptive Notch Filtering.- An Algorithm for Induction of Possibilistic Set-Valued Rules by Finding Prime Disjunctions.- Dataflow Realizes a Diagrammatic Programming Method.- DIFFOBJ — A Game for Exercising Teams of Agents.- Author Index.
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