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Applications of Soft Computing in Time Series Forecasting = Simulation and Modeling Techniques /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Applications of Soft Computing in Time Series Forecasting/ by Pritpal Singh.
其他題名:
Simulation and Modeling Techniques /
作者:
Singh, Pritpal.
面頁冊數:
XXI, 158 p. 24 illus., 14 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computational intelligence. -
電子資源:
https://doi.org/10.1007/978-3-319-26293-2
ISBN:
9783319262932
Applications of Soft Computing in Time Series Forecasting = Simulation and Modeling Techniques /
Singh, Pritpal.
Applications of Soft Computing in Time Series Forecasting
Simulation and Modeling Techniques /[electronic resource] :by Pritpal Singh. - 1st ed. 2016. - XXI, 158 p. 24 illus., 14 illus. in color.online resource. - Studies in Fuzziness and Soft Computing,3301434-9922 ;. - Studies in Fuzziness and Soft Computing,319.
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. .
ISBN: 9783319262932
Standard No.: 10.1007/978-3-319-26293-2doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Applications of Soft Computing in Time Series Forecasting = Simulation and Modeling Techniques /
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