Advances in Soft Computing: Engineering Design and Manufacturing [Paperback]

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.

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.- Application of Neural Networks and Expert Systems in a hierarchical approach to the intelligent greenhouse control.- Artificial Neural Networks Design using Evolutionary Algorithms.- TACDSS: Adaptation Using a Hybrid Neuro-Fuzzy System.- Visual Inspection of Fuzzy Clustering Results.- Benchmark Between Three Controllers in IFOC: PI, IP and New Fuzzy-PI Regulator.- Determining the Model Order of Nonlinear 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 Colour Image Segmentation Applied to Robot Vision.- Applying Rule Weight Derivation to Obtain Cooperative Rules.- XlCÀ