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Soft Computing in Industrial Applications
Başlık:
Soft Computing in Industrial Applications
ISBN:
9781447105091
Edition:
1st ed. 2000.
Yayın Bilgileri:
London : Springer London : Imprint: Springer, 2000.
Fiziksel Tanımlama:
XV, 670 p. online resource.
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 -- Stochastic 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.
Abstract:
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.
Dil:
English