Estimating soil temperature using neighboring station data via multi-nonlinear regression and artificial neural network models

Environmental Monitoring and Assessment

Volumn 185, Issue 1, 2013, Pages 347-358

  Bilgili, Mehmet ^a   Sahin, Besir ^a   Sangun, Levent ^a  

^a CUKUROVA UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Neighboring station; Soil temperature; Stepwise regression; Target station

Indexed keywords

ACCURATE PREDICTION; ARTIFICIAL NEURAL NETWORK MODELS; CORRELATION COEFFICIENT; EARTH SURFACE; HIGH DEGREE OF ACCURACY; INDEPENDENT VARIABLES; MEAN ABSOLUTE PERCENTAGE ERROR; MEASURING STATIONS; MISSING DATA; MULTIPLE NONLINEAR REGRESSION; NEIGHBORING STATION; SOIL PROPERTY; SOIL TEMPERATURE; STATION DATA; STEPWISE REGRESSION; STEPWISE REGRESSION ANALYSIS; TESTING DATA; TRAINING DATA SETS;

ESTIMATION; NEURAL NETWORKS; REGRESSION ANALYSIS;

TEMPERATURE;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; DATA SET; ESTIMATION METHOD; PREDICTION; REGRESSION ANALYSIS; SOIL DEPTH; SOIL PROPERTY; SOIL TEMPERATURE;

ACCURACY; ALGORITHM; ALTITUDE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DATA ANALYSIS; ENERGY TRANSFER; ENVIRONMENTAL MONITORING; LATITUDE; LONGITUDE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NONLINEAR SYSTEM; PREDICTION; SOIL DEPTH; SOIL TEMPERATURE; SUNLIGHT; THERMODYNAMICS; TURKEY (REPUBLIC);

ENVIRONMENTAL MONITORING; ENVIRONMENTAL POLLUTION; NEURAL NETWORKS (COMPUTER); REGRESSION ANALYSIS; SOIL; TEMPERATURE; TURKEY;

TURKEY;

EID: 84871989698     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-012-2557-5     Document Type: Article

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