Water distribution under trickle irrigation predicted using artificial neural networks

Journal of Engineering Mathematics

Volumn 64, Issue 2, 2009, Pages 207-218

  Lazarovitch, N ^a   Poulton, M ^b   Furman, A ^c   Warrick, A W ^d  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

^b University of Arizona   (United States)

^c TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^d UNIVERSITY OF ARIZONA   (United States)

Author keywords

Artificial neural networks; Drip irrigation; Spatial moments; Water flow

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; DIRECT DETERMINATIONS; DRIP IRRIGATION; FUNCTIONAL RELATIONS; HYDRUS-2D; INITIAL CONDITIONS; INPUT OUTPUTS; MOMENT ANALYSIS; NUMERICAL MODELS; PHYSICAL-BASED MODELING; SOIL PROPERTIES; SPATIAL MOMENTS; SUBSURFACE DISTRIBUTIONS; SUBSURFACE WATERS; TRICKLE IRRIGATIONS; WATER DISTRIBUTIONS; WATER FLOW;

BACKPROPAGATION; FLOW OF WATER; HYDRAULICS; IRRIGATION; MODELS; POROUS MATERIALS; WATER ANALYSIS; WATER CONTENT; WATER DISTRIBUTION SYSTEMS; WATER SUPPLY;

NEURAL NETWORKS;

EID: 67349180703     PISSN: 00220833     EISSN: 15732703     Source Type: Journal    
DOI: 10.1007/s10665-009-9282-2     Document Type: Article

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