Machine learning approaches for error correction of hydraulic simulation models for canal flow schemes

Journal of Irrigation and Drainage Engineering

Volumn 138, Issue 11, 2012, Pages 999-1010

  Torres Rua, Alfonso F ^a   Ticlavilca, Andres M ^a   Walker, Wynn R ^b   McKee, Mac ^a  

^a Utah State University   (United States)

^b UTAH STATE UNIVERSITY   (United States)

Author keywords

Error modeling; Hydraulic model; Irrigation; Learning machines; Multilayer perceptron; Neural networks; Relevance vector machines; SCADA; Water management

Indexed keywords

ERROR MODELING; LEARNING MACHINES; MULTI LAYER PERCEPTRON; RELEVANCE VECTOR MACHINE; SCADA;

AGGREGATES; AUTOMATION; COMPUTER SIMULATION; ERROR CORRECTION; FLOW CONTROL; HYDRAULIC MACHINERY; HYDRAULIC MODELS; HYDRAULIC STRUCTURES; IRRIGATION; LEARNING SYSTEMS; MEASUREMENT ERRORS; NEURAL NETWORKS; WATER MANAGEMENT; WATER SUPPLY;

IRRIGATION CANALS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; CANAL; ERROR CORRECTION; FLOW MODELING; HYDRAULICS; IRRIGATION SYSTEM; MODEL VALIDATION; WATER MANAGEMENT;

SEVIER BASIN; UNITED STATES; UTAH;

EID: 84876702998     PISSN: 07339437     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)IR.1943-4774.0000489     Document Type: Article

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