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Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques: 330 (Studies in Fuzziness and Soft Computing) - Tapa dura
Sinopsis
<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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Reseña del editor
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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- EditorialSpringer
- Año de publicación2015
- ISBN 10 3319262920
- ISBN 13 9783319262925
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de edición1
- Número de páginas180
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Applications of Soft Computing in Time Series Forecasting. Simulation and Modeling Techniques.
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Cham, Springer., 2016
ISBN 10: 3319262920
ISBN 13: 9783319262925
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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. Nº de ref. del artículo: 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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hardcover. Condición: Very Good. Hardcover issued without dust-jacket. Clean and solid. Ships from a smoke-free home. Nº de ref. del artículo: mon0000005949
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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
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Springer International Publishing Nov 2015, 2015
ISBN 10: 3319262920
ISBN 13: 9783319262925
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 180 pp. Englisch. Nº de ref. del artículo: 9783319262925
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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 (Studies in Fuzziness and Soft Computing, 330)
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Applications of Soft Computing in Time Series Forecasting : Simulation and Modeling Techniques
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Springer International Publishing, 2015
ISBN 10: 3319262920
ISBN 13: 9783319262925
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: 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. Nº de ref. del artículo: 9783319262925
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Applications of Soft Computing in Time Series Forecasting
Publicado por
Springer International Publishing, 2015
ISBN 10: 3319262920
ISBN 13: 9783319262925
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Librería: moluna, Greven, Alemania
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides the readers with the necessary theoretical background and practical tools for designing time series forecasting models using a combination of soft computing techniques Presents improved methods for fuzzy time series modeling Incl. Nº de ref. del artículo: 81169240
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Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques
Librería: Revaluation Books, Exeter, Reino Unido
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Hardcover. Condición: Brand New. 180 pages. 9.25x6.25x0.75 inches. In Stock. Nº de ref. del artículo: x-3319262920
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