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Soft computing in industrial applications : recent and emerging methods and techniques

Author: Ashraf Saad
Publisher: Berlin : Springer, 2007.
Series: Advances in soft computing, 39.
Edition/Format:   Print book : Conference publication : EnglishView all editions and formats
Summary:

This carefully edited book provides a comprehensive overview of recent advances in the industrial applications of soft computing and covers a wide range of application areas, including data analysis  Read more...

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Genre/Form: Conference papers and proceedings
Congresses
Material Type: Conference publication
Document Type: Book
All Authors / Contributors: Ashraf Saad
ISBN: 9783540707042 3540707042
OCLC Number: 137248633
Notes: International conference proceedings.
Description: xiv, 328 pages : illustrations ; 24 cm.
Contents: Invited Keynote.- Hybrid Dynamic Systems in an Industry Design Application.- I: Soft Computing in Computer Graphics, Imaging and Vision.- Object Recognition Using Particle Swarm Optimization on Fourier Descriptors.- Gestix: A Doctor-Computer Sterile Gesture Interface for Dynamic Environments.- Differential Evolution for the Registration of Remotely Sensed Images.- Geodesic Distance Based Fuzzy Clustering.- II: Control Systems.- Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Popov Criterion.- Identification of an Experimental Process by B-Spline Neural Network Using Improved Differential Evolution Training.- Applying Particle Swarm Optimization to Adaptive Controller.- B-Spline Neural Network Using an Artificial Immune Network Applied to Identification of a Ball-and-Tube Prototype.- III: Pattern Recognition.- Pattern Recognition for Industrial Security Using the Fuzzy Sugeno Integral and Modular Neural Networks.- Application of a GA/Bayesian Filter-Wrapper Feature Selection Method to Classification of Clinical Depression from Speech Data.- Comparison of PSO-Based Optimized Feature Computation for Automated Configuration of Multi-sensor Systems.- Evaluation of Objective Features for Classification of Clinical Depression in Speech by Genetic Programming.- A Computationally Efficient SUPANOVA: Spline Kernel Based Machine Learning Tool.- IV: Classification.- Multiobjective Genetic Programming Feature Extraction with Optimized Dimensionality.- A Cooperative Learning Model for the Fuzzy ARTMAP-Dynamic Decay Adjustment Network with the Genetic Algorithm.- A Modified Fuzzy Min-Max Neural Network and Its Application to Fault Classification.- AFC-ECG: An Adaptive Fuzzy ECG Classifier.- A Self-organizing Fuzzy Neural Networks.- V: Soft Computing for Modeling, Optimization and Information Processing.- A Particle Swarm Approach to Quadratic Assignment Problems.- Population-Based Incremental Learning for Multiobjective Optimisation.- Combining of Differential Evolution and Implicit Filtering Algorithm Applied to Electromagnetic Design Optimization.- A Layered Matrix Cascade Genetic Algorithm and Particle Swarm Optimization Approach to Thermal Power Generation Scheduling.- Differential Evolution for Binary Encoding.- VI: Soft Computing in Civil Engineering and Other Applications.- Prioritization of Pavement Stretches Using Fuzzy MCDM Approach - A Case Study.- A Memetic Algorithm for Water Distribution Network Design.- Neural Network Models for Air Quality Prediction: A Comparative Study.- Recessive Trait Cross over Approach of GAs Population Inheritance for Evolutionary Optimization.- Automated Prediction of Solar Flares Using Neural Networks and Sunspots Associations.
Series Title: Advances in soft computing, 39.
Responsibility: Ashraf Saad [and others] (eds.).

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