Applications of Soft Computing in Time Series Forecasting
Best Price (Coupon Required):
Buy Applications of Soft Computing in Time Series Forecasting for $76.50 at @ Link.springer.com when you apply the 10% OFF coupon at checkout.
Click “Get Coupon & Buy” to copy the code and unlock the deal.
Set a price drop alert to never miss an offer.
Single Product Purchase
Price Comparison
Seller | Contact Seller | List Price | On Sale | Shipping | Best Promo | Final Price | Volume Discount | Financing | Availability | Seller's Page |
---|---|---|---|---|---|---|---|---|---|---|
BEST PRICE 1 Product Purchase
|
|
$84.99 | $84.99 |
|
10% OFF
This deals requires coupon
|
$76.50 | See Site | In stock | Visit Store |
Product Details
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.