New Approaches for Estimation of Monthly Rainfall Based on GEP-ARCH and ANN-ARCH Hybrid Models

Water Resources Management

Volumn 32, Issue 2, 2018, Pages 527-545

  Mehdizadeh, Saeid ^a   Behmanesh, Javad ^a   Khalili, Keivan ^a  

^a URMIA UNIVERSITY   (Iran)

Author keywords

ANN ARCH; Estimation; GEP ARCH; Rainfall

Indexed keywords

CLIMATE MODELS; ESTIMATION; GENE EXPRESSION; MEAN SQUARE ERROR; NEURAL NETWORKS; RAIN; WATER RESOURCES;

ACCURATE ESTIMATION; AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY; CLIMATIC CONDITIONS; COEFFICIENT OF DETERMINATION; GENE EXPRESSION PROGRAMMING; MONTHLY RAINFALLS; ROOT MEAN SQUARE ERRORS; WATER RESOURCES MANAGEMENT;

ARCHES;

ARTIFICIAL NEURAL NETWORK; CLIMATE CONDITIONS; ESTIMATION METHOD; GENETIC ALGORITHM; NUMERICAL MODEL; RAINFALL; TIME SERIES ANALYSIS; WATER MANAGEMENT; WATER RESOURCE;

IRAN;

EID: 85030716329     PISSN: 09204741     EISSN: 15731650     Source Type: Journal    
DOI: 10.1007/s11269-017-1825-0     Document Type: Article

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