Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques: 330 (Studies in Fuzziness and Soft Computing) - Softcover

Singh, Pritpal

 
9783319387260: Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques: 330 (Studies in Fuzziness and Soft Computing)
Softcover
ISBN 10: 331938726X ISBN 13: 9783319387260
Verlag: Springer, 2016

Inhaltsangabe

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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Von der hinteren Coverseite

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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Verlag
Springer
Erscheinungsdatum
2016
Sprache
Englisch
ISBN 10 
331938726X
ISBN 13 
9783319387260
Einband
Tapa blanda
Anzahl der Seiten
180
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

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Hamburg
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783319262925: Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques: 330 (Studies in Fuzziness and Soft Computing)

Vorgestellte Ausgabe

ISBN 10:  3319262920 ISBN 13:  9783319262925
Verlag: Springer, 2015
Hardcover