Support vector machines regression and modeling of greenhouse environment

Computers and Electronics in Agriculture

Volumn 66, Issue 1, 2009, Pages 46-52

  Wang, Dingcheng ^a   Wang, Maohua ^b   Qiao, Xiaojun ^c  

^a NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b CHINA AGRICULTURAL UNIVERSITY   (China)

^c NATIONAL ENGINEERING RESEARCH CENTER FOR INFORMATION TECHNOLOGY IN AGRICULTURE   (China)

Author keywords

Greenhouse; LSSVMR; Online; Sparsity, Modeling

Indexed keywords

COMPUTER OPERATING SYSTEMS; IMAGE RETRIEVAL; INTERNET; NONLINEAR SYSTEMS; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES;

AIR TEMPERATURES; CLASSICAL MODELING; GENERALIZATION ABILITIES; GREENHOUSE ENVIRONMENTS; LEAST SQUARES-SUPPORT VECTOR MACHINES; LSSVMR; MATHEMATICAL THEORIES; NON-LINEAR MODELING; ON-LINE LEARNING; ONLINE; REAL-WORLD DATUM; SIMPLE STRUCTURES; SPARSE SOLUTIONS; SPARSITY, MODELING; SUPPORT VECTOR MACHINES REGRESSIONS; TRAINING SAMPLES; UNCERTAIN NONLINEAR SYSTEMS;

GREENHOUSES;

AIR TEMPERATURE; DATA SET; GREENHOUSE ECOSYSTEM; LEARNING; LEAST SQUARES METHOD; NUMERICAL METHOD; REGRESSION ANALYSIS;

EID: 61349184339     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2008.12.004     Document Type: Article

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