Application of NN-ARX Model to Predict Groundwater Levels in the Neishaboor Plain, Iran

Water Resources Management

Volumn 27, Issue 14, 2013, Pages 4773-4794

  Izady, A ^a,b   Davary, K ^a   Alizadeh, A ^a   Moghaddam Nia, A ^c   Ziaei, A N ^a   Hasheminia, S M ^a  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

^b UNIVERSITY OF ARIZONA   (United States)

^c UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Gamma test; Genetic algorithm; Groundwater; Iran; NN ARX model; Ward clustering

Indexed keywords

ARID AND SEMI-ARID AREAS; GAMMA TEST; GROUNDWATER EXTRACTION; GROUNDWATER LEVEL FLUCTUATION; IRAN; LEVENBERG-MARQUARDT ALGORITHM; PERFORMANCE INDICATORS; WARD CLUSTERING;

ARID REGIONS; FORECASTING; GENETIC ALGORITHMS; NEURAL NETWORKS; STATISTICAL TESTS; WATER SUPPLY;

GROUNDWATER;

ARID REGION; ARTIFICIAL NEURAL NETWORK; DATA SET; GENETIC ALGORITHM; GROUNDWATER RESOURCE; INPUT-OUTPUT ANALYSIS; MODEL TEST; PERFORMANCE ASSESSMENT; PREDICTION; SEMIARID REGION; WATER SUPPLY;

IRAN; NISHAPUR; RAZAVI KHORASAN;

EID: 84886594570     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-013-0432-y     Document Type: Article

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