Advances in Soft Computing: Engineering Design and Manufacturing

Advances in Soft Computing: Engineering Design and Manufacturing

Advances in Soft Computing: Engineering Design and Manufacturing

Advances in Soft Computing: Engineering Design and Manufacturing

Hardcover(2003)

$219.99 
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Overview

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:
- New and highly advanced research results at the forefront of soft computing in engineering design and manufacturing.
- Keynote papers by world-renowned researchers in the field.
- A good overview of current soft computing research around the world.

A collection of methodologies aimed at researchers and professional design and manufacturing engineers who develop and apply intelligent systems in computer engineering.


Product Details

ISBN-13: 9781852337551
Publisher: Springer London
Publication date: 08/22/2003
Edition description: 2003
Pages: 385
Product dimensions: 6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Fault Diagnosis of Air-Conditioning System using CMAC Neural Network Approach.-Prototypes Stability Analysis in the Design of Radial Basis Function Neural Networks.- Canadian Weather Analysis using Connectionist Learning Paradigms.- TACDSS: Adaptation Using a Hybrid Neuro-Fuzzy System.- Application of Neural Networks and Expert Systems in a Hierarchical Approach to the Intelligent Greenhouse Control.- Artificial Neural Networks Design Using Evolutionary Algorithms.- Intelligent Control of a Stepping Motor Drive Using a Hybrid Neuro-Fuzzy ANFIS Approach.- Benchmark between Three Controllers Structure in IFOC: PID, IP and New Fuzzy-PID Regulator.- XML based Modelling of Soft Computing Methods.- Determining the Model Order of Non-linear Input-Output Systems by Fuzzy Clustering.- Fuzzy Self-Organizing Map based on Regularized Fuzzy c-means Clustering.- Outline Representation of Fonts using Genetic Approach.- Process-Oriented Plant Layout Design using a Fuzzy Set Decomposition Algorithm.- A Fuzzy Color Image Segmentation Applied to Robot Vision.- Improvements to the Cor Metholology by Means of Weighted Fuzzy Rules.- Representation of Concept Specialization Distance through Resemblance Relations.- Kernel-based Face Recognition by a Reformulation of Kernel Machines.- Face Recognition Using Multi Log-Polar Images and Gabor Filters.- Evolutionary Fuzzy Volume Tuner for Cellular Phones.- A Performance Analysis of Statistical Classifier SMO with other Data Mining Classifiers.- Two term-layers: An Alternative Topology for Representing Term Relationships in the Bayesian Network.- C-FOCUS: A Continuous Extension of FOCUS.- 2D Image Registration with Iterated Local Search.- Function Finding and the Creation of Numerical Constants in Gene Expression Programming.- A Hybrid Genetic Algorithm for Multi-Hypothesis Tracking.- Differential Evolution Algorithm with Adaptive Control Parameters.- A Distributed-Population Genetic Algorithm for Discovering Interesting Prediction Rules.- Confidence interval based crossover using a L1 norm localization estimator for real-coded genetic al.- Cooperative Particle Swarm Optimization for Robust Control System Design.- 1-D Parabolic Search Mutation.- Global Optimization of Climate Control Problems using Evolutionary and Shastic Algorithms.- Surface Defect Inspection: An Immune Approach.- A Hybrid CHC Genetic Algorithm for Macro Cell Global Routing.- Genetic Models for the Rational Exploitation of Resources.- Discrete Variable Structure Control Design based on Lamarckian Evolution.- GA-P based Search of Structures and Parameters of Dynamical Process Models.- Visual Inspection of Fuzzy Clustering Results.- Intelligent Information Retrieval: Some Research Trends.- Evolutionary Multiobjective Optimization: Current and Future Challenges.
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