Soft Computing in Industrial Applications

Table of Contents

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   Book Overview
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   Chapter 1 Hybrid Dynamic Systems in an Industry Design Application
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   Chapter 2 Object Recognition Using Particle Swarm Optimization on Fourier Descriptors
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   Chapter 3 Gestix: A Doctor-Computer Sterile Gesture Interface for Dynamic Environments
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   Chapter 4 Differential Evolution for the Registration of Remotely Sensed Images
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   Chapter 5 Geodesic Distance Based Fuzzy Clustering
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   Chapter 6 Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Popov Criterion
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   Chapter 7 Identification of an Experimental Process by B-Spline Neural Network Using Improved Differential Evolution Training
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   Chapter 8 Applying Particle Swarm Optimization to Adaptive Controller
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    Chapter 9 B-Spline Neural Network Using an Artificial Immune Network Applied to Identification of a Ball-and-Tube Prototype
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    Chapter 10 Pattern Recognition for Industrial Security Using the Fuzzy Sugeno Integral and Modular Neural Networks
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    Chapter 11 Application of a GA/Bayesian Filter-Wrapper Feature Selection Method to Classification of Clinical Depression from Speech Data
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    Chapter 12 Comparison of PSO-Based Optimized Feature Computation for Automated Configuration of Multi-sensor Systems
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    Chapter 13 Evaluation of Objective Features for Classification of Clinical Depression in Speech by Genetic Programming
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    Chapter 14 A Computationally Efficient SUPANOVA: Spline Kernel Based Machine Learning Tool
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    Chapter 15 Multiobjective Genetic Programming Feature Extraction with Optimized Dimensionality
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    Chapter 16 A Cooperative Learning Model for the Fuzzy ARTMAP-Dynamic Decay Adjustment Network with the Genetic Algorithm
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    Chapter 17 A Modified Fuzzy Min-Max Neural Network and Its Application to Fault Classification
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    Chapter 18 AFC-ECG: An Adaptive Fuzzy ECG Classifier
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    Chapter 19 A Self-organizing Fuzzy Neural Networks
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    Chapter 20 A Particle Swarm Approach to Quadratic Assignment Problems
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    Chapter 21 Population-Based Incremental Learning for Multiobjective Optimisation
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    Chapter 22 Combining of Differential Evolution and Implicit Filtering Algorithm Applied to Electromagnetic Design Optimization
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    Chapter 23 A Layered Matrix Cascade Genetic Algorithm and Particle Swarm Optimization Approach to Thermal Power Generation Scheduling
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    Chapter 24 Differential Evolution for Binary Encoding
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    Chapter 25 Prioritization of Pavement Stretches Using Fuzzy MCDM Approach – A Case Study
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    Chapter 26 A Memetic Algorithm for Water Distribution Network Design
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    Chapter 27 Neural Network Models for Air Quality Prediction: A Comparative Study
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    Chapter 28 Recessive Trait Cross over Approach of GAs Population Inheritance for Evolutionary Optimization
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    Chapter 29 Automated Prediction of Solar Flares Using Neural Networks and Sunspots Associations