Overview
- Real-world Applications of Soft Computing in Industry
- Presents the main techniques of soft computing such as ant-colony optimization, artificial immune systems, artificial neural networks, Bayesian models, etc.
- Includes various examples and application domains such as bioinformatics, detection of phishing attacks, distributed terrestrial transportation, fault detection of motors etc.
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 226)
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Table of contents (19 chapters)
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Front Matter
Keywords
About this book
Softcomputing techniques play a vital role in the industry. This book presents several important papers presented by some of the well-known scientists from all over the globe. The application domains discussed in this book include: agroecology, bioinformatics, branched fluid-transport network layout design, dam scheduling, data analysis and exploration, detection of phishing attacks, distributed terrestrial transportation, fault detection of motors, fault diagnosis of electronic circuits, fault diagnosis of power distribution systems, flood routing, hazard sensing, health care, industrial chemical processes, knowledge management in software development, local multipoint distribution systems, missing data estimation, parameter calibration of rainfall intensity models, parameter identification for systems engineering, petroleum vessel mooring, query answering in P2P systems, real-time strategy games, robot control, satellite heat pipe design, monsoon rainfall forecasting, structural design, tool condition monitoring, vehicle routing, water network design, etc.
The softcomputing techniques presented in this book are on (or closely related to): ant-colony optimization, artificial immune systems, artificial neural networks, Bayesian models, case-based reasoning, clustering techniques, differential evolution, fuzzy classification, fuzzy neural networks, genetic algorithms, harmony search, hidden Markov models, locally weighted regression analysis, probabilistic principal component analysis, relevance vector machines, self-organizing maps, other machine learning and statistical techniques, and the combinations of the above techniques.
Bibliographic Information
Book Title: Soft Computing Applications in Industry
Editors: Bhanu Prasad
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-77465-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-77464-8Published: 25 March 2008
Softcover ISBN: 978-3-642-09614-3Published: 25 November 2010
eBook ISBN: 978-3-540-77465-5Published: 13 February 2008
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: VI, 385
Topics: Mathematical and Computational Engineering, Artificial Intelligence