Predicting soil infiltration rate using artificial neural network

ICEEA 2010 - 2010 International Conference on Environmental Engineering and Applications, Proceedings

Volumn , Issue , 2010, Pages 117-121

  Ekhmaj, Ahmed Ibrahim ^a  

^a UNIVERSITY OF TRIPOLI   (Libyan Arab Jamahiriya)

Author keywords

Artificial neural networks; Libyan soils; Multivariable linear regressions; Steady infiltration rate

Indexed keywords

ACTIVATION FUNCTIONS; ARTIFICIAL NEURAL NETWORK; BULK DENSITY; INFILTRATION RATE; INPUT DATAS; INPUT PARAMETER; LIBYAN SOILS; MEAN ABSOLUTE ERROR; MEASURED DATA; MULTI-VARIABLE LINEAR REGRESSION; ROOT MEAN SQUARE ERRORS; SATURATED HYDRAULIC CONDUCTIVITY; SOIL DATABASE; SOIL INFILTRATION; STEADY INFILTRATION RATE; TRAINING PHASE; VADOSE ZONE; VOLUMETRIC WATER CONTENT; WATER FLOWS;

BACKPROPAGATION ALGORITHMS; ECOLOGY; HYDRAULIC CONDUCTIVITY; LINEAR REGRESSION; NEURAL NETWORKS; RAILROAD TRACKS; SEEPAGE; SILT; SOIL MECHANICS; SOIL MOISTURE; SOLUTE TRANSPORT; WATER CONTENT;

GEOLOGIC MODELS;

EID: 78449296251     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEEA.2010.5596107     Document Type: Conference Paper

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