Applications of soft computing in time series forecasting [electronic resource] : simulation and modeling techniques / Pritpal Singh.
2016
Q342
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Details
Title
Applications of soft computing in time series forecasting [electronic resource] : simulation and modeling techniques / Pritpal Singh.
ISBN
9783319262932 (electronic book)
3319262939 (electronic book)
9783319262925
3319262920
3319262939 (electronic book)
9783319262925
3319262920
Published
Cham : Springer, 2016.
Language
English
Description
1 online resource (xxi, 158 pages) : illustrations.
Item Number
10.1007/978-3-319-26293-2 doi
Call Number
Q342
Dewey Decimal Classification
006.3
Summary
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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Access limited to authorized users.
Digital File Characteristics
text file PDF
Series
Studies in fuzziness and soft computing ; 330.
Available in Other Form
Print version: 9783319262925
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