On the relevance of using artificial neural networks for estimating soil moisture content

Journal of Hydrology

Volumn 362, Issue 1-2, 2008, Pages 1-18

  Elshorbagy, Amin ^a   Parasuraman, K ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

Conceptual models; Higher order neural networks; Modeling; Reconstructed watersheds; Soil moisture content

Indexed keywords

BACKPROPAGATION; CORRELATION METHODS; DYNAMICS; ELECTRIC FAULT LOCATION; GEOLOGIC MODELS; GROUNDWATER; MATHEMATICAL MODELS; MOISTURE; MOISTURE DETERMINATION; NETWORK PROTOCOLS; PEAT; PERMITTIVITY; SENSOR NETWORKS; SILICA; SILICATE MINERALS; SOIL MOISTURE; SOILS; SURFACE CHEMISTRY; SURFACE TENSION; THERMODYNAMIC PROPERTIES;

CONCEPTUAL MODELS; HIGHER-ORDER NEURAL NETWORKS; MODELING; RECONSTRUCTED WATERSHEDS; SOIL MOISTURE CONTENT;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; DATA SET; ENERGY BALANCE; ESTIMATION METHOD; MOISTURE CONTENT; NUMERICAL MODEL; SOIL COVER; SOIL MOISTURE; SURFACE ENERGY; TILL; WATER BUDGET; WATERSHED;

EID: 54049108802     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2008.08.012     Document Type: Article

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