Hydrometeorological parameters in prediction of soil temperature by means of artificial neural network: Case study in wyoming

Journal of Hydrologic Engineering

Volumn 18, Issue 6, 2013, Pages 707-718

  Zounemat Kermani, Mohammad ^a  

^a SHAHID BAHONAR UNIVERSITY OF KERMAN   (Iran)

Author keywords

Artificial neural network; Conjugate gradient; Gradient descent; Hydrometeorological data; Levenberg marquardt; Multiple linear regression; Soil temperature

Indexed keywords

GRADIENT DESCENT; HYDROMETEOROLOGICAL DATA; LEVENBERG-MARQUARDT; MULTIPLE LINEAR REGRESSIONS; SOIL TEMPERATURE;

BACKPROPAGATION ALGORITHMS; CONJUGATE GRADIENT METHOD; CORRELATION METHODS; NEURAL NETWORKS; TEMPERATURE;

LINEAR REGRESSION;

AIR TEMPERATURE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; HYDROMETEOROLOGY; MULTIPLE REGRESSION; NET RADIATION; PREDICTION; RELATIVE HUMIDITY; SOIL TEMPERATURE;

UNITED STATES; WYOMING;

EID: 84879749443     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)HE.1943-5584.0000666     Document Type: Article

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