Application of multivariate adaptive regression splines (MARS) to simulate soil temperature

Transactions of the American Society of Agricultural Engineers

Volumn 47, Issue 3, 2004, Pages 881-887

  Yang, C C ^a   Prasher, S O ^a   Lacroix, R ^b   Kim, S H ^c  

^a MCGILL UNIVERSITY   (Canada)

^b Ecl de Technol Superieure ^*  (Canada)

^c Yeungnam University   (South Korea)

Author keywords

Artificial neural networks; Cross validation; MARS; Multivariate adaptive regression splines; Soil temperature

Indexed keywords

AGRICULTURE; DATA ACQUISITION; EVAPOTRANSPIRATION; NEURAL NETWORKS; RAIN; REGRESSION ANALYSIS; THERMAL EFFECTS;

AIR TEMPERATURE; REGRESSION LINE; SOIL TEMPERATURE;

SOILS;

AGRICULTURAL SOIL; ARTIFICIAL NEURAL NETWORK; MULTIVARIATE ANALYSIS; REGRESSION ANALYSIS; SOIL TEMPERATURE;

EID: 4243158375     PISSN: 00012351     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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