Application of the relevance vector machine to canal flow prediction in the Sevier River Basin

Agricultural Water Management

Volumn 97, Issue 2, 2010, Pages 208-214

  Flake, John ^a   Moon, Todd K ^a   McKee, Mac ^b   Gunther, Jacob H ^a  

^a Utah State University   (United States)

^b UTAH STATE UNIVERSITY   (United States)

Author keywords

Flow rate modeling; Forecasting; Irrigation canals; Supervised machine learning; Water demand

Indexed keywords

CANAL FLOWS; DATA-DRIVEN APPROACH; FLOW RATE MODELING; INPUT SET; KERNEL-BASED LEARNING; MODEL UPDATES; PREDICTION CAPABILITY; PREDICTION HORIZON; RELEVANCE VECTOR MACHINE; RIVER BASINS; SCALE PARAMETER; SUPERVISED MACHINE LEARNING; TIME OF DELIVERY; WATER DEMAND;

ARID REGIONS; HYDRAULIC STRUCTURES; IRRIGATION; MATHEMATICAL MODELS; ROBOT LEARNING; WATER MANAGEMENT; WATERSHEDS;

IRRIGATION CANALS;

CANAL; FLOW MODELING; IRRIGATION SYSTEM; RIVER FLOW; VECTOR AUTOREGRESSION; WATER DEMAND; WATER MANAGEMENT;

NORTH AMERICA; SEVIER BASIN; UNITED STATES; UTAH;

EID: 70449685716     PISSN: 03783774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agwat.2009.09.010     Document Type: Article

References (9)

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