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Soft Computing in Industrial Applications: Recent and Emerging Methods and Techniques (Advances in Intelligent and Soft Computing)
 
 
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Soft Computing in Industrial Applications: Recent and Emerging Methods and Techniques (Advances in Intelligent and Soft Computing) [Paperback]

Ashraf Saad (Editor), Erel Avineri (Editor), Keshav Dahal (Editor), Muhammad Sarfraz (Editor), Rajkumar Roy (Editor)

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Book Description

June 27, 2007 3540707042 978-3540707042 1

Here is a collection of papers 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 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.


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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.


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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
soft computing, evolutionary computation, solar physics, learning rate, adaptive controller, artificial immune network, population inheritance, hybrid systems, priority index, ant colony optimization, image registration, quadratic assignment problems, fault classification, linguistic variable, dynamic decay adjustment, swarm intelligence, triangular fuzzy numbers, sterile gesture interface, tube blockage conditions, implicit filtering algorithm, new memetic algorithm, power generation scheduling, hyperbox fuzzy sets, testing accuracy rates, winner cluster
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Neural Networks, Industrial Applications, Springer-Verlag Berlin Heidelberg, Case Study, New York, Model-Based Design, Genetic Algorithms, International Conference, Genetic Programming, Lecture Notes, Fuzzy Systems, Comparative Study, Air-quality Parameter, Pattern Recognition, Industry Design Application, Computationally Efficient, San Francisco, Computer Science, Recessive Trait Cross, Experimental Process, B-Spline Neural Network Using, Activation Function Tansig, Output Parameters, Optimized Feature Computation, Power Systems
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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