Ebook: Soft Computing in Industrial Applications: Recent Trends
- Tags: Appl.Mathematics/Computational Methods of Engineering, Artificial Intelligence (incl. Robotics), Applications of Mathematics
- Series: Advances in Soft Computing 39
- Year: 2007
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic aspects of the remarkable human capability of making decisions in real-life and ambiguous environments. "Soft Computing in Industrial Applications" contains a collection of papers that were 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 the 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. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students.
Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic aspects of the remarkable human capability of making decisions in real-life and ambiguous environments. "Soft Computing in Industrial Applications" contains a collection of papers that were 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 the 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. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students.
Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic aspects of the remarkable human capability of making decisions in real-life and ambiguous environments. "Soft Computing in Industrial Applications" contains a collection of papers that were 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 the 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. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students.
Content:
Front Matter....Pages -
Hybrid Dynamic Systems in an Industry Design Application....Pages 1-16
Front Matter....Pages 17-17
Object Recognition Using Particle Swarm Optimization on Fourier Descriptors....Pages 19-29
Gestix: A Doctor-Computer Sterile Gesture Interface for Dynamic Environments....Pages 30-39
Differential Evolution for the Registration of Remotely Sensed Images....Pages 40-49
Geodesic Distance Based Fuzzy Clustering....Pages 50-59
Front Matter....Pages 61-61
Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Popov Criterion....Pages 63-71
Identification of an Experimental Process by B-Spline Neural Network Using Improved Differential Evolution Training....Pages 72-81
Applying Particle Swarm Optimization to Adaptive Controller....Pages 82-91
B-Spline Neural Network Using an Artificial Immune Network Applied to Identification of a Ball-and-Tube Prototype....Pages 92-101
Front Matter....Pages 103-103
Pattern Recognition for Industrial Security Using the Fuzzy Sugeno Integral and Modular Neural Networks....Pages 105-114
Application of a GA/Bayesian Filter-Wrapper Feature Selection Method to Classification of Clinical Depression from Speech Data....Pages 115-121
Comparison of PSO-Based Optimized Feature Computation for Automated Configuration of Multi-sensor Systems....Pages 122-131
Evaluation of Objective Features for Classification of Clinical Depression in Speech by Genetic Programming....Pages 132-143
A Computationally Efficient SUPANOVA: Spline Kernel Based Machine Learning Tool....Pages 144-155
Front Matter....Pages 157-157
Multiobjective Genetic Programming Feature Extraction with Optimized Dimensionality....Pages 159-168
A Cooperative Learning Model for the Fuzzy ARTMAP-Dynamic Decay Adjustment Network with the Genetic Algorithm....Pages 169-178
A Modified Fuzzy Min-Max Neural Network and Its Application to Fault Classification....Pages 179-188
AFC-ECG: An Adaptive Fuzzy ECG Classifier....Pages 189-199
A Self-organizing Fuzzy Neural Networks....Pages 200-210
Front Matter....Pages 211-211
A Particle Swarm Approach to Quadratic Assignment Problems....Pages 213-222
Front Matter....Pages 211-211
Population-Based Incremental Learning for Multiobjective Optimisation....Pages 223-232
Combining of Differential Evolution and Implicit Filtering Algorithm Applied to Electromagnetic Design Optimization....Pages 233-240
A Layered Matrix Cascade Genetic Algorithm and Particle Swarm Optimization Approach to Thermal Power Generation Scheduling....Pages 241-250
Differential Evolution for Binary Encoding....Pages 251-262
Front Matter....Pages 263-263
Prioritization of Pavement Stretches Using Fuzzy MCDM Approach – A Case Study....Pages 265-278
A Memetic Algorithm for Water Distribution Network Design....Pages 279-289
Neural Network Models for Air Quality Prediction: A Comparative Study....Pages 290-305
Recessive Trait Cross over Approach of GAs Population Inheritance for Evolutionary Optimization....Pages 306-315
Automated Prediction of Solar Flares Using Neural Networks and Sunspots Associations....Pages 316-324
Back Matter....Pages -
Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic aspects of the remarkable human capability of making decisions in real-life and ambiguous environments. "Soft Computing in Industrial Applications" contains a collection of papers that were 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 the 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. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students.
Content:
Front Matter....Pages -
Hybrid Dynamic Systems in an Industry Design Application....Pages 1-16
Front Matter....Pages 17-17
Object Recognition Using Particle Swarm Optimization on Fourier Descriptors....Pages 19-29
Gestix: A Doctor-Computer Sterile Gesture Interface for Dynamic Environments....Pages 30-39
Differential Evolution for the Registration of Remotely Sensed Images....Pages 40-49
Geodesic Distance Based Fuzzy Clustering....Pages 50-59
Front Matter....Pages 61-61
Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Popov Criterion....Pages 63-71
Identification of an Experimental Process by B-Spline Neural Network Using Improved Differential Evolution Training....Pages 72-81
Applying Particle Swarm Optimization to Adaptive Controller....Pages 82-91
B-Spline Neural Network Using an Artificial Immune Network Applied to Identification of a Ball-and-Tube Prototype....Pages 92-101
Front Matter....Pages 103-103
Pattern Recognition for Industrial Security Using the Fuzzy Sugeno Integral and Modular Neural Networks....Pages 105-114
Application of a GA/Bayesian Filter-Wrapper Feature Selection Method to Classification of Clinical Depression from Speech Data....Pages 115-121
Comparison of PSO-Based Optimized Feature Computation for Automated Configuration of Multi-sensor Systems....Pages 122-131
Evaluation of Objective Features for Classification of Clinical Depression in Speech by Genetic Programming....Pages 132-143
A Computationally Efficient SUPANOVA: Spline Kernel Based Machine Learning Tool....Pages 144-155
Front Matter....Pages 157-157
Multiobjective Genetic Programming Feature Extraction with Optimized Dimensionality....Pages 159-168
A Cooperative Learning Model for the Fuzzy ARTMAP-Dynamic Decay Adjustment Network with the Genetic Algorithm....Pages 169-178
A Modified Fuzzy Min-Max Neural Network and Its Application to Fault Classification....Pages 179-188
AFC-ECG: An Adaptive Fuzzy ECG Classifier....Pages 189-199
A Self-organizing Fuzzy Neural Networks....Pages 200-210
Front Matter....Pages 211-211
A Particle Swarm Approach to Quadratic Assignment Problems....Pages 213-222
Front Matter....Pages 211-211
Population-Based Incremental Learning for Multiobjective Optimisation....Pages 223-232
Combining of Differential Evolution and Implicit Filtering Algorithm Applied to Electromagnetic Design Optimization....Pages 233-240
A Layered Matrix Cascade Genetic Algorithm and Particle Swarm Optimization Approach to Thermal Power Generation Scheduling....Pages 241-250
Differential Evolution for Binary Encoding....Pages 251-262
Front Matter....Pages 263-263
Prioritization of Pavement Stretches Using Fuzzy MCDM Approach – A Case Study....Pages 265-278
A Memetic Algorithm for Water Distribution Network Design....Pages 279-289
Neural Network Models for Air Quality Prediction: A Comparative Study....Pages 290-305
Recessive Trait Cross over Approach of GAs Population Inheritance for Evolutionary Optimization....Pages 306-315
Automated Prediction of Solar Flares Using Neural Networks and Sunspots Associations....Pages 316-324
Back Matter....Pages -
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