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Applications Of Soft Computing In Time Series Forecasting: Simulation And Modeling Techniques
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Bester Preis: € 5,10 (vom 04.12.2019)Applications of Soft Computing in Time Series Forecasting
ISBN: 9783319387260 bzw. 331938726X, vermutlich in Englisch, Springer Shop, Taschenbuch, neu.
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. , Soft cover.
Applications of Soft Computing in Time Series Forecasting
ISBN: 9783319262925 bzw. 3319262920, vermutlich in Englisch, Springer Shop, gebundenes Buch, neu.
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. , Hard cover.
Applications of Soft Computing in Time Series Forecasting
ISBN: 9783319387260 bzw. 331938726X, in Deutsch, Springer, Taschenbuch, neu.
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1].
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 seriesmodeling, and will be valuable not only for graduate students, but also for researchers and professionals working for academic, business and government organizations. Versandfertig in 3-5 Tagen, Softcover, Neuware, offene Rechnung (Vorkasse vorbehalten).
Applications Of Soft Computing In Time Series Forecasting: Simulation And Modeling Techniques
ISBN: 9783319387260 bzw. 331938726X, vermutlich in Englisch, neu.
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.
Applications of Soft Computing in Time Series Forecasting
ISBN: 9783319262925 bzw. 3319262920, vermutlich in Englisch, neu.
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.
Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques Pritpal Singh Author
ISBN: 9783319387260 bzw. 331938726X, vermutlich in Englisch, Springer International Publishing, Taschenbuch, neu.
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 seriesmodeling, and will be valuable not only for graduate students, but also for researchers and professionals working for academic, business and government organizations.
Applications of Soft Computing in Time Series Forecasting als von
ISBN: 9783319387260 bzw. 331938726X, in Deutsch, Springer, gebundenes Buch, neu.
Applications Of Soft Computing In Time Series Forecasting: Simulation And Modeling Techniques
ISBN: 9783319262925 bzw. 3319262920, vermutlich in Englisch, Springer-Verlag/Sci-Tech/Trade, neu.
Pritpal Singh, Books, Computers, Applications Of Soft Computing In Time Series Forecasting: Simulation And Modeling Techniques, 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.
Applications of Soft Computing in Time Series Forecasting (2016)
ISBN: 331938726X bzw. 9783319387260, vermutlich in Englisch, Springer International Publishing, Taschenbuch, neu, Nachdruck.
Applications of Soft Computing in Time Series Forecasting (2016)
ISBN: 331938726X bzw. 9783319387260, vermutlich in Englisch, Taschenbuch, neu, Nachdruck.