Improved estimation of surface solar insolation using a neural network and MTSAT-1R data

Computers and Geosciences

Volumn 36, Issue 5, 2010, Pages 590-597

  Yeom, Jong Min ^a,b   Han, Kyung Soo ^a  

^a Pukyong National University   (South Korea)

^b SOUTH DAKOTA STATE UNIVERSITY   (United States)

Author keywords

Levenberg Marquardt back propagation; MTSAT 1R; Neural network; Principal component analysis; Solar surface insolation

Indexed keywords

CONVENTIONAL METHODS; CRITICAL PARAMETER; DATA REDUNDANCY; DIFFERENT PROCESS; EARLY-STOP; EARTH'S SURFACE; EIGENVECTORS; HIDDEN LAYERS; INPUT DATAS; INPUT PARAMETER; LEVENBERG-MARQUARDT; MTSAT-1R; NEURAL NETWORK MODEL; NUMERICAL WEATHER PREDICTION; PHYSICAL CHARACTERISTICS; PHYSICAL METHODS; PRINCIPAL COMPONENT TRANSFORMATIONS; PYRANOMETERS; SKY CONDITION; SOLAR INSOLATION; SOLAR RADIANCE; SOLAR SURFACES; TRUTH VALUES;

BACKPROPAGATION; CLIMATE CHANGE; DATA FLOW ANALYSIS; FORESTRY; NEURAL NETWORKS; SOLAR RADIATION;

PRINCIPAL COMPONENT ANALYSIS;

ARTIFICIAL NEURAL NETWORK; CLIMATE CHANGE; EIGENVALUE; ESTIMATION METHOD; PRINCIPAL COMPONENT ANALYSIS; SOLAR RADIATION;

EID: 77950835336     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2009.08.012     Document Type: Article

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