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Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques: 330 - Rilegato
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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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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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Applications of Soft Computing in Time Series Forecasting. Simulation and Modeling Techniques.
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
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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. Codice articolo 6518GB
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Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques (Studies in Fuzziness and Soft Computing, 330)
Da: Michael Knight, Bookseller, Forest Grove, OR, U.S.A.
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hardcover. Condizione: Very Good. Hardcover issued without dust-jacket. Clean and solid. Ships from a smoke-free home. Codice articolo mon0000005949
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Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques (Studies in Fuzziness and Soft Computing, 330)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Condizione: New. Codice articolo ABLIING23Mar3113020092021
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Applications of Soft Computing in Time Series Forecasting : Simulation and Modeling Techniques
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Condizione: New. Codice articolo 24759968-n
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Applications of Soft Computing in Time Series Forecasting : Simulation and Modeling Techniques
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Condizione: As New. Unread book in perfect condition. Codice articolo 24759968
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Applications of Soft Computing in Time Series Forecasting (Hardcover)
Editore:
Springer International Publishing AG, Cham, 2015
ISBN 10: 3319262920
ISBN 13: 9783319262925
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Hardcover. Condizione: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783319262925
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Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques (Studies in Fuzziness and Soft Computing, 330)
Da: California Books, Miami, FL, U.S.A.
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Condizione: New. Codice articolo I-9783319262925
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Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques (Studies in Fuzziness and Soft Computing, 330)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Condizione: New. In. Codice articolo ria9783319262925_new
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Applications of Soft Computing in Time Series Forecasting
Editore:
Springer International Publishing Nov 2015, 2015
ISBN 10: 3319262920
ISBN 13: 9783319262925
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Buch. Condizione: 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. Codice articolo 9783319262925
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Applications of Soft Computing in Time Series Forecasting
Editore:
Springer International Publishing, 2015
ISBN 10: 3319262920
ISBN 13: 9783319262925
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Da: moluna, Greven, Germania
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Gebunden. Condizione: 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. Codice articolo 81169240
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