Application of several artificial intelligence models and ARIMAX model for forecasting drought using the Standardized Precipitation Index

International Journal of Environmental Science and Technology

Volumn 12, Issue 4, 2015, Pages 1201-1210

  Jalalkamali, A ^a   Moradi, M ^a   Moradi, N ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

ANFIS; ANN; ARIMAX; Drought; Forecasting; SPI; SVM; Yazd

Indexed keywords

DISASTERS; DROUGHT; FORECASTING; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; MULTILAYER NEURAL NETWORKS; STREAM FLOW; SUPPORT VECTOR MACHINES; TIME SERIES;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; ARIMAX; AUTO-REGRESSIVE INTEGRATED MOVING AVERAGE; MODELING AND FORECASTING; MULTIVARIATE TIME SERIES; STANDARDIZED PRECIPITATION INDEX; YAZD;

FUZZY INFERENCE;

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; DROUGHT STRESS; FORECASTING METHOD; HUMIDITY; NUMERICAL MODEL; PRECIPITATION (CLIMATOLOGY); STANDARDIZATION;

EID: 84923675334     PISSN: 17351472     EISSN: 17352630     Source Type: Journal    
DOI: 10.1007/s13762-014-0717-6     Document Type: Article

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