: Ashraf Saad, Keshav Dahal, Muhammad Sarfraz, Rajkumar Roy
: Ashraf Saad, Erel Avineri, Keshav Dahal, Muhammad Sarfraz, Rajkumar Roy
: Soft Computing in Industrial Applications Recent and Emerging Methods and Techniques
: Springer-Verlag
: 9783540707066
: 1
: CHF 191.00
:
: Anwendungs-Software
: English
: 330
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF

Here is a collection of papers presented at the 11th On-line World Conference on Soft Computing in Industrial Applications, held in September-October 2006. 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 and data mining, computer graphics, intelligent control, systems, pattern recognition, classifiers, as well as modeling optimization.

Preface6
Mesage from the WSC11 General Chair and Program Chair7
WSC11 Organization and International Program Commitee8
Contents10
Hybrid Dynamic Systems in an Industry Design Application14
Soft Computing in Computer Graphics, Imaging and Vision30
Object Recognition Using Particle Swarm Optimization on Fourier Descriptors31
Gestix: A Doctor-Computer Sterile Gesture Interface for Dynamic Environments42
Differential Evolution for the Registration of Remotely Sensed Images52
Geodesic Distance Based Fuzzy Clustering62
Control Systems72
Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Popov Criterion73
Identification of an Experimental Process by B-Spline Neural Network Using Improved Differential Evolution Training82
Applying Particle Swarm Optimization to Adaptive Controller92
B-Spline Neural Network Using an Artificial Immune Network Applied to Identification of a Ball- and- Tube Prototype102
Pattern Recognition112
Pattern Recognition for Industrial Security Using the Fuzzy Sugeno Integral and Modular Neural Networks113
Application of a GA/Bayesian Filter-Wrapper Feature Selection Method to Classification of Clinical Depression from Speech Data123
Comparison of PSO-Based Optimized Feature Computation for Automated Configuration of Multi- sensor Systems130
Evaluation of Objective Features for Classification of Clinical Depression in Speech by Genetic Programming140
A Computationally Efficient SUPANOVA: Spline Kernel Based Machine Learning Tool152
Classification164
Multiobjective Genetic Programming Feature Extraction with Optimized Dimensionality165
A Cooperative Learning Model for the Fuzzy ARTMAP- Dynamic Decay Adjustment Network with the Genetic Algorithm175
A Modified Fuzzy Min-Max Neural Network and Its Application to Fault Classification185
AFC-ECG: An Adaptive Fuzzy ECG Classifier195
A Self-organizing Fuzzy Neural Networks206
Soft Computing for Modeling, Optimization and Information Processing217
A Particle Swarm Approach to Quadratic Assignment Problems218
Population-Based Incremental Learning for Multiobjective Optimisation228
Combining of Differential Evolution and Implicit Filtering Algorithm Applied to Electromagnetic Design Optimization238
A Layered Matrix Cascade Genetic Algorithm and Particle Swarm Optimization Approach to Thermal Power Generation Scheduling246
Differential Evolution for Binary Encoding256
Soft Computing in Civil Engineering and Other Applications268
Prioritization of Pavement Stretches Using Fuzzy MCDM Approach A Case Study269
A Memetic Algorithm for Water Distribution Network Design283
Neural Network Models for Air Quality Prediction: A Comparative Study294
Recessive Trait Cross over Approach of GAs Population Inheritance for Evolutionary Optimization310
Automated Prediction of Solar Flares Using Neural Networks and Sunspots Associations320
Keyword Index329
Author Index331