Artificial neural network models for predicting soil thermal resistivity

International Journal of Thermal Sciences

Volumn 47, Issue 10, 2008, Pages 1347-1358

  Erzin, Yusuf ^a   Rao, B Hanumantha ^b   Singh, D N ^b  

^a CELAL BAYAR UNIVERSITY   (Turkey)

^b INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Artificial neural network; Empirical relationships; Laboratory investigations; Soils; Thermal resistivity

Indexed keywords

BACKPROPAGATION; CLAY MINERALS; COMPACTION; ESTIMATION; FORECASTING; HEALTH; HEAT RESISTANCE; IMAGE CLASSIFICATION; MATHEMATICAL MODELS; NEURAL NETWORKS; SIZE DISTRIBUTION; SOILS; THERMAL CONDUCTIVITY; THERMODYNAMIC PROPERTIES;

(PL) PROPERTIES; ARTIFICIAL NEURAL NETWORK (ANN) MODELS; COEFFICIENT OF DETERMINATION; DRY DENSITIES; ELSEVIER (CO); EXPERIMENTAL INVESTIGATIONS; HEATED FLUIDS; HIGH POWERS; MEAN ABSOLUTE ERROR (MAE); MOISTURE CONTENT (MC); PARTICLE SIZE DISTRIBUTION (PSZ); PERFORMANCE INDEX (PI); RESISTIVITY VALUES; ROOT MEAN-SQUARE ERROR (RMSE); SOIL MASSES;

GEOLOGIC MODELS;

EID: 47549093934     PISSN: 12900729     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijthermalsci.2007.11.001     Document Type: Article

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