Comparative Evaluation of Statistical Models and Artificial Intelligence for Drought Prediction in Isfahan Synoptic Station

Comparative Evaluation of Statistical Models and Artificial Intelligence for Drought Prediction in Isfahan Synoptic Station

Meteorological drought is a complex natural disaster that occurs everywhere in the world. Predicting the occurrence and severity of drought can be effective in managing water crises and their impacts. The purpose of the current study is to select the most appropriate model from statistical models an...

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Bibliographic Details
Main Authors: Hadi Zarepour, Abbasali Vali, Hamid Ghorbani, Sadatinejad Seyed Javad, Seyed Hassan Alavinia
Format: Article
Language:fas
Published: Iranian Scientific Association of Desert Management and Control (ISADMC) 2022-05-01
Series:مدیریت بیابان
Subjects:
extreme learning machines (elm) model
feedforward neural networks (fnns) model
multi-layer perceptron (mlp) model
sarima mode
z-score index (zsi)
Online Access:http://www.jdmal.ir/article_249229_cca25ca9f7105e6f2836ee4d1d3b2045.pdf

Internet

http://www.jdmal.ir/article_249229_cca25ca9f7105e6f2836ee4d1d3b2045.pdf

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