Overview
- Covers both fundamental and applied aspects of soft computing
- Presents soft computing as an important tool for developing next-generation intelligent digital devices
- Edited and written by leading researchers in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 317)
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Table of contents (29 chapters)
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Fuzzy Control, and Intelligent Monitoring
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Neural Networks: Construction and Application
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Applications
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Time Series and Data Analysis
Keywords
About this book
The book reports on the latest advances and challenges of soft computing. It gathers original scientific contributions written by top scientists in the field and covering theories, methods and applications in a number of research areas related to soft-computing, such as decision-making, probabilistic reasoning, image processing, control, neural networks and data analysis.
Editors and Affiliations
Bibliographic Information
Book Title: Recent Developments and New Directions in Soft Computing
Editors: Lotfi A. Zadeh, Ali M. Abbasov, Ronald R. Yager, Shahnaz N. Shahbazova, Marek Z. Reformat
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-06323-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-06322-5Published: 03 July 2014
Softcover ISBN: 978-3-319-37527-4Published: 17 September 2016
eBook ISBN: 978-3-319-06323-2Published: 17 June 2014
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: VIII, 466
Number of Illustrations: 146 b/w illustrations, 35 illustrations in colour
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Artificial Intelligence