Application of least squares vector machines in modelling water vapor and carbon dioxide fluxes over a cropland

Journal of Zhejiang University: Science

Volumn 6 B, Issue 6, 2005, Pages 491-495

  Qin, Zhong ^a   Yu, Qiang ^b   Li, Jun ^b   Wu, Zhi Yi ^c   Hu, Bing Min ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^c ZHEJIANG UNIVERSITY   (China)

Author keywords

Least squares support vector machines (LS SVMs); Radial basis function (RBF) neural networks; Water vapor and carbon dioxide fluxes exchange

Indexed keywords

CARBON DIOXIDE; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; VAPORS;

CROPLANDS; EDDY COVARIANCE TECHNIQUE; LEAST SQUARES SUPPORT VECTOR MACHINES; MODELLING; WATER VAPOR AND CARBON DIOXIDE FLUXES EXCHANGE;

ECOSYSTEMS;

CARBON DIOXIDE; WATER;

AGRICULTURE; ARTICLE; ARTIFICIAL INTELLIGENCE; ATMOSPHERE; BIOLOGICAL MODEL; CHEMICAL MODEL; CHEMISTRY; COMPUTER SIMULATION; CROP; ECOSYSTEM; EVALUATION; METABOLISM; METHODOLOGY; PHYSIOLOGY; REGRESSION ANALYSIS; STATISTICAL MODEL;

AGRICULTURE; ARTIFICIAL INTELLIGENCE; ATMOSPHERE; CARBON DIOXIDE; COMPUTER SIMULATION; CROPS, AGRICULTURAL; ECOSYSTEM; LEAST-SQUARES ANALYSIS; MODELS, BIOLOGICAL; MODELS, CHEMICAL; MODELS, STATISTICAL; WATER;

EID: 21444442416     PISSN: 10093095     EISSN: None     Source Type: Journal    
DOI: 10.1631/jzus.2005.B0491     Document Type: Article

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