Overview
- Presents the principles and practice of Computational Intelligence in the analysis, design, and interpretation of time series
- Taking into account the synergy among neurocomputing, fuzzy sets and evolutionary optimization
- Written by leading experts in the field
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 47)
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About this book
Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.). A quest for a thorough analysis, interpretation, modeling and prediction of time series comes with an ongoing challenge for developing models that are both accurate and user-friendly (interpretable).
The volume is aimed to exploit the conceptual and algorithmic framework of Computational Intelligence (CI) to form a cohesive and comprehensive environment for building models of time series. The contributions covered in the volume are fully reflective of the wealth of the CI technologies by bringing together ideas, algorithms, and numeric studies, which convincingly demonstrate their relevance, maturity and visible usefulness. It reflects upon the truly remarkable diversity of methodological and algorithmic approaches and case studies.
This volume is aimed at a broad audience of researchers and practitioners engaged in various branches of operations research, management, social sciences, engineering, and economics. Owing to the nature of the material being covered and a way it has been arranged, it establishes a comprehensive and timely picture of the ongoing pursuits in the area and fosters further developments.
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Keywords
Table of contents (18 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Time Series Analysis, Modeling and Applications
Book Subtitle: A Computational Intelligence Perspective
Editors: Witold Pedrycz, Shyi-Ming Chen
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-33439-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-33438-2Published: 06 November 2012
Softcover ISBN: 978-3-642-43700-7Published: 14 December 2014
eBook ISBN: 978-3-642-33439-9Published: 29 November 2012
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: VIII, 404