EAN: 9783319262925

APPLICATIONS OF SOFT COMPUTING IN TIME SERIES F...

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 foracademic  business and government
organizations.

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