Saad / Avineri / Dahal Soft Computing in Industrial Applications

Recent and Emerging Methods and Techniques
1. Auflage 2007
ISBN: 978-3-540-70706-6
Verlag: Springer Berlin Heidelberg
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 39, 330 Seiten

Reihe: Advances in Intelligent and Soft Computing

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.

Autoren/Hrsg.

Saad, Ashraf

Dahal, Keshav

Sarfraz, Muhammad

Roy, Rajkumar

Avineri, Erel

Inhaltsverzeichnis

1;Preface;6
2;Mesage from the WSC11 General Chair and Program Chair;7
3;WSC11 Organization and International Program Commitee;8
4;Contents;10
5;Hybrid Dynamic Systems in an Industry Design Application;14
6;Soft Computing in Computer Graphics, Imaging and Vision;30
6.1;Object Recognition Using Particle Swarm Optimization on Fourier Descriptors;31
6.2;Gestix: A Doctor-Computer Sterile Gesture Interface for Dynamic Environments;42
6.3;Differential Evolution for the Registration of Remotely Sensed Images;52
6.4;Geodesic Distance Based Fuzzy Clustering;62
7;Control Systems;72
7.1;Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Popov Criterion;73
7.2;Identification of an Experimental Process by B-Spline Neural Network Using Improved Differential Evolution Training;82
7.3;Applying Particle Swarm Optimization to Adaptive Controller;92
7.4;B-Spline Neural Network Using an Artificial Immune Network Applied to Identification of a Ball- and- Tube Prototype;102
8;Pattern Recognition;112
8.1;Pattern Recognition for Industrial Security Using the Fuzzy Sugeno Integral and Modular Neural Networks;113
8.2;Application of a GA/Bayesian Filter-Wrapper Feature Selection Method to Classification of Clinical Depression from Speech Data;123
8.3;Comparison of PSO-Based Optimized Feature Computation for Automated Configuration of Multi- sensor Systems;130
8.4;Evaluation of Objective Features for Classification of Clinical Depression in Speech by Genetic Programming;140
8.5;A Computationally Efficient SUPANOVA: Spline Kernel Based Machine Learning Tool;152
9;Classification;164
9.1;Multiobjective Genetic Programming Feature Extraction with Optimized Dimensionality;165
9.2;A Cooperative Learning Model for the Fuzzy ARTMAP- Dynamic Decay Adjustment Network with the Genetic Algorithm;175
9.3;A Modified Fuzzy Min-Max Neural Network and Its Application to Fault Classification;185
9.4;AFC-ECG: An Adaptive Fuzzy ECG Classifier;195
9.5;A Self-organizing Fuzzy Neural Networks;206
10;Soft Computing for Modeling, Optimization and Information Processing;217
10.1;A Particle Swarm Approach to Quadratic Assignment Problems;218
10.2;Population-Based Incremental Learning for Multiobjective Optimisation;228
10.3;Combining of Differential Evolution and Implicit Filtering Algorithm Applied to Electromagnetic Design Optimization;238
10.4;A Layered Matrix Cascade Genetic Algorithm and Particle Swarm Optimization Approach to Thermal Power Generation Scheduling;246
10.5;Differential Evolution for Binary Encoding;256
11;Soft Computing in Civil Engineering and Other Applications;268
11.1;Prioritization of Pavement Stretches Using Fuzzy MCDM Approach – A Case Study;269
11.2;A Memetic Algorithm for Water Distribution Network Design;283
11.3;Neural Network Models for Air Quality Prediction: A Comparative Study;294
11.4;Recessive Trait Cross over Approach of GAs Population Inheritance for Evolutionary Optimization;310
11.5;Automated Prediction of Solar Flares Using Neural Networks and Sunspots Associations;320
12;Keyword Index;329
13;Author Index;331