- 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.
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- About this book
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Softcomputing techniques play a vital role in the industry. This book presents several important papers contributed 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.
- Table of contents (19 chapters)
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Optimization of Industrial Processes Using Improved and Modified Differential Evolution
Pages 1-22
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Noise-Robust Tool Condition Monitoring in Micro-milling with Hidden Markov Models
Pages 23-46
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Dynamically Self-generated Fuzzy Neural Networks with Industry Applications
Pages 47-68
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Kernel Estimators in Industrial Applications
Pages 69-91
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Negative Selection Algorithm with Applications in Motor Fault Detection
Pages 93-115
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Table of contents (19 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Soft Computing Applications in Industry
- Editors
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- Bhanu Prasad
- Series Title
- Studies in Fuzziness and Soft Computing
- Series Volume
- 226
- Copyright
- 2008
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-540-77465-5
- DOI
- 10.1007/978-3-540-77465-5
- Hardcover ISBN
- 978-3-540-77464-8
- Softcover ISBN
- 978-3-642-09614-3
- Series ISSN
- 1434-9922
- Edition Number
- 1
- Number of Pages
- VI, 385
- Topics
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