Modeling multidimensional flow in wettable and water-repellent soils using artificial neural networks

Journal of Hydrology

Volumn 410, Issue 1-2, 2011, Pages 92-104

  Xiong, Yunwu ^a   Wallach, Rony ^a   Furman, Alex ^b  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^b TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

Modular neural networks; Multilayer perceptrons; Self organizing maps; Spatial moment analysis; Water repellent soil

Indexed keywords

DIMENSIONALITY REDUCTION; HIGH MOISTURE; MEASURED DATA; MODULAR NEURAL NETWORKS; MULTI-LAYER PERCEPTRONS; MULTIDIMENSIONAL FLOW; NUMERICAL DATA; OUTPUT DATA; SOIL TYPES; SPATIAL MOMENT; SPATIAL MOMENT ANALYSIS; TRANSITION ZONES; WATER FLOWS; WATER-REPELLENT SOIL; WATER-REPELLENT SOILS;

CONFORMAL MAPPING; CYBERNETICS; FORECASTING; MULTILAYERS; PATTERN RECOGNITION SYSTEMS; SELF ORGANIZING MAPS; SOILS; SPATIAL VARIABLES MEASUREMENT; WATER CONTENT; WETTING;

MULTILAYER NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; DATA SET; FLOW MODELING; MOISTURE CONTENT; NUMERICAL MODEL; SOIL TYPE; SOIL WATER; SPATIAL ANALYSIS; TRANSITION ZONE; WATER FLOW; WETTABILITY;

EID: 80054853904     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2011.09.019     Document Type: Article

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