Please use this identifier to cite or link to this item:
https://dspace.univ-ouargla.dz/jspui/handle/123456789/14180
Title: | Drought forecasting using feed-forward neural network |
Authors: | Sarah, HELLASSA Doudja, SOUAG Salim, DJERBOUAI |
Keywords: | Drought ARIMA SARIMA FFNN Forecasting |
Issue Date: | 13-Jun-2017 |
Series/Report no.: | 2016; |
Abstract: | Drought forecasting is a major component of a drought preparedness and mitigation plan. This study compares linear stochastic models (ARIMA/SARIMA) and Feed-forward neural network (FFNN) models for drought forecasting in the Algerois catchment in Algeria, using standardized precipitation index (SPI) as a drought quantifying parameter. The results obtained from two models are presented in this paper. |
Description: | الملتقى الدولي الثاني حول: الموارد المائية'' تقييم و إقتصاد وحماية'' یومي الاثنین والثلاثاء 21 و22 دیسمبر 2016 |
URI: | http://dspace.univ-ouargla.dz/jspui/handle/123456789/14180 |
ISSN: | sa |
Appears in Collections: | 3. Faculté des sciences appliquées |
Files in This Item:
File | Description | Size | Format | |
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Salim DJERBOUAI.pdf | 369,46 kB | Adobe PDF | View/Open |
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