Predicting Spatial Distribution of Snow Water Equivalent Using Multivariate Non-linear Regression and Computational Intelligence Methods

Water Resources Management

Volumn 25, Issue 5, 2011, Pages 1417-1435

  Marofi, Safar ^a   Tabari, Hossein ^a   Abyaneh, Hamid Zare ^a  

^a BU ALI SINA UNIVERSITY   (Iran)

Author keywords

Artificial neural network; Genetic algorithm; Multivariate regression; Snow water equivalent; Spatial distribution

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPUTATIONAL INTELLIGENCE METHODS; DELTA-BAR-DELTA; INPUT PARAMETER; MOUNTAINOUS BASINS; MULTIVARIATE NON-LINEAR REGRESSION; MULTIVARIATE REGRESSION; ORDINARY KRIGING; SIGMOID ACTIVATION FUNCTION; SNOW DEPTHS; SNOW WATER EQUIVALENT; STUDY AREAS;

DELTA FUNCTIONS; GENETIC ALGORITHMS; LEARNING ALGORITHMS; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; SNOW; SNOW MELTING SYSTEMS; SPATIAL DISTRIBUTION; WATER RESOURCES;

NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; ESTIMATION METHOD; GENETIC ALGORITHM; KRIGING; MULTIVARIATE ANALYSIS; SENSITIVITY ANALYSIS; SNOW WATER EQUIVALENT; SPATIAL DISTRIBUTION; WATER RESOURCE;

IRAN;

EID: 79952738488     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-010-9751-4     Document Type: Article

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