Support vector regression with reduced training sets for air temperature prediction: A comparison with artificial neural networks

Neural Computing and Applications

Volumn 20, Issue 1, 2011, Pages 151-159

  Chevalier, Robert F ^a,b   Hoogenboom, Gerrit ^a,c   McClendon, Ronald W ^a,d   Paz, Joel A ^c  

^a UNIVERSITY OF GEORGIA   (United States)

^b LOCKHEED MARTIN   (United States)

^c UNIVERSITY OF GEORGIA   (United States)

^d University of Georgia   (United States)

Author keywords

Air temperature; Artificial neural networks; Frost; Support vector machines; Weather modeling

Indexed keywords

AGRICULTURAL ROBOTS; AGRICULTURE; ATMOSPHERIC TEMPERATURE; DATA HANDLING; FORECASTING; METEOROLOGY; SUPPORT VECTOR MACHINES; SUPPORT VECTOR REGRESSION;

AGRICULTURAL RESOURCES; AIR TEMPERATURE; ARTIFICIAL NEURAL NETWORK MODELS; EXTREME TEMPERATURES; FROST; REDUCED TRAINING SETS; SUPPORT VECTOR REGRESSION (SVR); WEATHER MODELING;

NEURAL NETWORKS;

EID: 79251608751     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-010-0363-y     Document Type: Article

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