Seasonal River Discharge Forecasting Using Support Vector Regression: A Case Study in the Italian Alps-Reference-Cited by-同舟云学术

Seasonal River Discharge Forecasting Using Support Vector Regression: A Case Study in the Italian Alps

Published:2015-05-22 Issue:12 Volume:7 Page:2494-2515
ISSN:2073-4441
Container-title:Water
language:en
Short-container-title:Water

Author:

Callegari Mattia,Mazzoli Paolo,de Gregorio Ludovica,Notarnicola Claudia,Pasolli Luca,Petitta Marcello,Pistocchi Alberto

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Link

http://www.mdpi.com/2073-4441/7/5/2494/pdf

Reference62 articles.

1. Low Flow and Drought Research in Europe: Achievements and Futurehttp://webworld.unesco.org/water/ihp/pdf/conclusions_bratislava_lfdr_workshop08.pdf

2. Drought forecasting using feed-forward recursive neural network

3. A Bayesian Framework for Probabilistic Seasonal Drought Forecasting

4. Attribution of hydrologic forecast uncertainty within scalable forecast windows

5. Management of water resources and low flow estimation for the Himalayan basins of Nepal

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