Application of artificial intelligence hybrid models for meteorological drought prediction

被引:0
作者
Seyed Mohammad Ehsan Azimi
Seyed Javad Sadatinejad
Arash Malekian
Mohammad Hossein Jahangir
机构
[1] University of Tehran,Faculty of New Sciences and Technologies
[2] University of Tehran,Faculty of Natural Resources
来源
Natural Hazards | 2023年 / 116卷
关键词
Artificial intelligence; Drought forecasting; Hybrid models; Northwestern iran; Time series;
D O I
暂无
中图分类号
学科分类号
摘要
引用
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页码:2565 / 2589
页数:24
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[1]  
Abdourahamane ZS(2019)Fuzzy rule-based forecast of meteorological drought in Western Niger Theor Appl Climatol 135 157-168
[2]  
Acar R(2008)Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis J Hydrol 353 247-266
[3]  
Adamowski JF(2022)Drought forecasting: a review and assessment of the hybrid techniques and data pre-processing Hydrology 9 115-1154
[4]  
Alawsi MA(2009)Adaptive neuro-fuzzy inference system for drought forecasting Stoch Environ Res Risk Assess 23 1143-206
[5]  
Zubaidi SL(2016)Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models J Hydrol 532 193-1033
[6]  
Al-Bdairi NS(2019)Linkage of agricultural drought with meteorological drought in different climates of Iran Theor Appl Climatol 138 1025-13
[7]  
Al-Ansari N(2012)Standard precipitation index drought forecasting using neural networks, wavelet neural networks, and support vector regression Appl Comput Intell Soft Comput 2012 1-429
[8]  
Hashim K(2014)Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural networks and wavelet support vector regression models J Hydrol 508 418-140
[9]  
Bacanli UG(2016)Multi-time-scale analysis of hydrological drought forecasting using support vector regression (SVR) and artificial neural networks (ANN) Arab J Geosci 9 1-1605
[10]  
Firat M(1996)Bagging predictors Mach Learn 24 123-3