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Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques: 330 (Studies in Fuzziness and Soft Computing) - Hardcover
Inhaltsangabe
<P>THIS BOOK REPORTS ON AN IN-DEPTH STUDY OF FUZZY TIME SERIES (FTS) MODELING. IT REVIEWS AND SUMMARIZES PREVIOUS RESEARCH WORK IN FTS MODELING AND ALSO PROVIDES A BRIEF INTRODUCTION TO OTHER SOFT-COMPUTING TECHNIQUES, SUCH AS ARTIFICIAL NEURAL NETWORKS (ANNS), ROUGH SETS (RS) AND EVOLUTIONARY COMPUTING (EC), FOCUSING ON HOW THESE TECHNIQUES CAN BE INTEGRATED INTO DIFFERENT PHASES OF THE FTS MODELING APPROACH. IN PARTICULAR, THE BOOK DESCRIBES NOVEL METHODS RESULTING FROM THE HYBRIDIZATION OF FTS MODELING APPROACHES WITH NEURAL NETWORKS AND PARTICLE SWARM OPTIMIZATION. IT ALSO DEMONSTRATES HOW A NEW ANN-BASED MODEL CAN BE SUCCESSFULLY APPLIED IN THE CONTEXT OF PREDICTING INDIAN SUMMER MONSOON RAINFALL. THANKS TO ITS EASY-TO-READ STYLE AND THE CLEAR EXPLANATIONS OF THE MODELS, THE BOOK CAN BE USED AS A CONCISE YET COMPREHENSIVE REFERENCE GUIDE TO FUZZY TIME SERIES MODELING, AND WILL BE VALUABLE NOT ONLY FOR GRADUATE STUDENTS, BUT ALSO FOR RESEARCHERS AND PROFESSIONALS WORKING FOR ACADEMIC, BUSINESS AND GOVERNMENT ORGANIZATIONS.</P><P></P> <P> </P>
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This book reports on an in-depth study of fuzzy time series (FTS) modeling. It reviews and summarizes previous research work in FTS modeling and also provides a brief introduction to other soft-computing techniques, such as artificial neural networks (ANNs), rough sets (RS) and evolutionary computing (EC), focusing on how these techniques can be integrated into different phases of the FTS modeling approach. In particular, the book describes novel methods resulting from the hybridization of FTS modeling approaches with neural networks and particle swarm optimization. It also demonstrates how a new ANN-based model can be successfully applied in the context of predicting Indian summer monsoon rainfall. Thanks to its easy-to-read style and the clear explanations of the models, the book can be used as a concise yet comprehensive reference guide to fuzzy time series modeling, and will be valuable not only for graduate students, but also for researchers and professionals working for academic, business and government organizations.
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- VerlagSpringer
- Erscheinungsdatum2015
- ISBN 10 3319262920
- ISBN 13 9783319262925
- EinbandTapa dura
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten180
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Applications of Soft Computing in Time Series Forecasting. Simulation and Modeling Techniques.
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XXI, 158 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Fuzziness and Soft Computing ; 330. Sprache: Englisch. Artikel-Nr. 6518GB
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Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques (Studies in Fuzziness and Soft Computing, 330)
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Applications of Soft Computing in Time Series Forecasting : Simulation and Modeling Techniques
Verlag:
Springer International Publishing, 2015
ISBN 10: 3319262920
ISBN 13: 9783319262925
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Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reports on an in-depth study of fuzzy time series (FTS) modeling. It reviews and summarizes previous research work in FTS modeling and also provides a brief introduction to other soft-computing techniques, such as artificial neural networks (ANNs), rough sets (RS) and evolutionary computing (EC), focusing on how these techniques can be integrated into different phases of the FTS modeling approach. In particular, the book describes novel methods resulting from the hybridization of FTS modeling approaches with neural networks and particle swarm optimization. It also demonstrates how a new ANN-based model can be successfully applied in the context of predicting Indian summer monsoon rainfall. Thanks to its easy-to-read style and the clear explanations of the models, the book can be used as a concise yet comprehensive reference guide to fuzzy time series modeling, and will be valuable not only for graduate students, but also for researchers and professionals working for academic, business and government organizations. Artikel-Nr. 9783319262925
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