Applications of Soft Computing in Time Series Forecasting is popular PDF and ePub book, written by Pritpal Singh in 2015-11-22, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Applications of Soft Computing in Time Series Forecasting can be Read Online from any device for your convenience.
Applications of Soft Computing in Time Series Forecasting Book PDF 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.
Detail Book of Applications of Soft Computing in Time Series Forecasting PDF
- Author : Pritpal Singh
- Release : 22 November 2015
- Publisher : Springer
- ISBN : 9783319262932
- Genre : Technology & Engineering
- Total Page : 166 pages
- Language : English
- PDF File Size : 10,8 Mb
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