Applications of Soft Computing (eBook)
XXVI, 274 Seiten
Springer Berlin (Verlag)
978-3-540-88079-0 (ISBN)
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. It admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic the remarkable human capability of making decisions in real-life, ambiguous environments. Soft Computing has therefore become popular in developing systems that encapsulate human expertise. 'Applications of Soft Computing: Updating the State of Art' contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in Industrial Applications, held in October 2007. 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 design, intelligent control, optimization, signal processing, pattern recognition, computer graphics, production, as well as civil engineering and applications to traffic and transportation systems. 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.
Preface 6
Welcome Note by the World Federation on Soft Computing ( WFSC) Chair Person 8
WSC12 Best Paper Award 9
Organization 10
Plenary Presentation Abstracts 13
List of Contributors 15
Contents 21
Design of Soft Computing Techniques 24
Linguistic Information in Dynamical Fuzzy Systems — An Overview 25
PSO-Optimized Negative Selection Algorithm for Anomaly Detection 35
Adaptation of Learning Parameters for Choquet Integral Agent Network by Using Genetic Algorithms 44
Comparison of Effective Assessment Functions for Optimized Sensor System Design 56
Visualization and Complexity Reduction of Neural Networks 65
Modelling, Control and Optimization 75
Artificial Immune Network Combined with Normative Knowledge for Power Economic Dispatch of Thermal Units 76
Scheduling of Tasks in Multiprocessor System Using Hybrid Genetic Algorithms 86
A Novel Modelling and Optimisation Technique for Business Processes: An Evolutionary Computing Based Approach 96
Use of Multi-objective Evolutionary Algorithms in Extrusion Scale- Up 107
Signal Processing and Pattern Recognition 116
A Multi-Agent Classifier System Based on the Trust- Negotiation- Communication Model 117
Error Compensation Based Directional Interpolation Algorithm for Video Error Concealment 127
An Evolutionary Approach to Digitalized Hand Signs Recognition 135
Civil Engineering 145
Prediction of Ultimate Capacity of Laterally Loaded Piles in Clay: A Relevance Vector Machine Approach 146
Air Quality Forecaster: Moving Window Based Neuro Models 156
Computer Graphics, Imaging and Vision 165
Automatic 3D Modeling of Skulls by Scatter Search and Heuristic Features 166
Multi-modal Registration Using a Combined Similarity Measure 176
An Investigation into Neural Networks for the Detection of Exudates in Retinal Images 186
An Optimisation Approach to Palette Reordering for Indexed Image Compression 195
Production, Manufacturing, and Design 203
Weighted Tardiness Scheduling with Sequence- Dependent Setups: A Benchmark Problem for Soft Computing 204
An Exploration of Genetic Process Mining 214
Traffic and Transportation Systems 224
An Adaptive Differential Evolution Algorithm Applied to Highway Network Capacity Optimization 225
Incorporating Fuzzy Reference Points into Applications of Travel Choice Modeling 235
The Role of the Uncertainty in ATIS Applications 244
Human-Like Adaptive Cruise Control Systems through a Learning Machine Approach 254
Fuzzy Evaluation of Contra-Flow Evacuation Plans in Texas Medical Center 264
Arrow Exit Sign Placement on Highway Using Fuzzy Table Look- Up Scheme 274
Index 284
Author Index 286
Erscheint lt. Verlag | 28.12.2008 |
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Reihe/Serie | Advances in Intelligent and Soft Computing |
Zusatzinfo | XXVI, 274 p. 117 illus. |
Verlagsort | Berlin |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik |
Mathematik / Informatik ► Mathematik | |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Artificial Intelligence • Artificial Neural Network • Bayesian Network • Cognition • Evolution • evolutionary algorithm • evolutionary computation • Fuzzy Logic • fuzzy system • Genetic Algorithm • Knowledge • Modeling • Modelling • neural network • pattern recognition • WSC12 |
ISBN-10 | 3-540-88079-8 / 3540880798 |
ISBN-13 | 978-3-540-88079-0 / 9783540880790 |
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