Advances in Soft Computing: Engineering Design and ManufacturingJose M. Benitez Soft computing embraces methodologies for the development of intelligent systems that have been successfully applied to a large number of real-word problems. This collection of keynote papers, presented at the 7th On-line World Conference on Soft Computing in Engineering Design and Manufacturing, provides a comprehensive overview of recent advances in fuzzy, neural and evolutionary computing techniques and applications in engineering design and manufacturing. Features: A collection of methodologies aimed at researchers and professional design and manufacturing engineers who develop and apply intelligent systems in computer engineering. |
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... be made . Typesetting : Camera - ready by editors Printed and bound in the United States of America 69 / 3830-54321 Printed on acid - free paper SPIN 10985878 Preface Soft Computing is a computing paradigm representing a group.
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Contents
Fault Diagnosis of Airconditioning System Using CM AC Neural Network Approach | 1 |
Prototypes Stability Analysis in the Design of Radial Basis Function Neural Networks | 13 |
Canadian Weather Analysis Using Connectionist Learning Paradigms | 21 |
Application of Neural Networks and Expert Systems in a hierarchical approach to the intelligent greenhouse control | 33 |
Artificial Neural Networks Design using Evolutionary Algorithms | 43 |
Adaptation Using a Hybrid NeuroFuzzy System | 53 |
Visual Inspection of Fuzzy Clustering Results | 65 |
PI IP and New FuzzyPI Regulator | 77 |
an alternative topology for representing term relationships in the Bayesian Network Retrieval Model | 211 |
A continuous extension of FOCUS | 223 |
2D Image registration with iterated local search | 231 |
Current and Future Challenges | 241 |
Function Finding and the Creation of Numerical Constants in Gene Expression Programming | 255 |
A Hybrid Genetic Algorithm for MultiHypothesis Tracking | 265 |
Differential Evolution Algorithm With Adaptive Control Parameters | 275 |
A DistributedPopulation GA for Discovering Interesting Prediction Rules | 285 |
Determining the Model Order of Nonlinear InputOutput Systems by Fuzzy Clustering | 87 |
Fuzzy SelfOrganizing Map based on Regularized Fuzzy cmeans Clustering | 97 |
Outline Representation of Fonts Using Genetic Approach | 107 |
ProcessOriented Plant Layout Design using a Fuzzy Set Decomposition Algorithm | 117 |
A Fuzzy Colour Image Segmentation Applied to Robot Vision | 127 |
Applying Rule Weight Derivation to Obtain Cooperative Rules | 137 |
XML based Modelling of Soft Computing Methods | 147 |
some research trends | 157 |
Representation of Concept Specialization Distance through Resemblance Relations | 171 |
Kernelbased Face Recognition by a Reformulation of Kernel Machines | 181 |
Face Recognition Using Multi LogPolar Images and Gabor Filters | 195 |
Performance Analysis of Statistical Classifier SMO with other Data Mining Classifiers | 203 |
Confidence interval based crossover using a L1 norm localization estimator for realcoded genetic algorithms | 295 |
Cooperative Particle Swarm Optimization for Robust Control System Design | 305 |
1D Parabolic Search Mutation | 315 |
Global optimization of climate control problems using evolutionary and stochastic algorithms | 329 |
A Hybrid CHC Genetic Algorithm for Macro Cell Global Routing | 341 |
Genetic Models for the Rational Exploitation of Resources | 349 |
Discrete Variable Structure Control Design based on Lamarckian Evolution | 359 |
GAP Based Search of Structures and Parameters of Dynamical Process Models | 369 |
Author Index | 379 |
381 | |