Online support vector regression with varying parameters for time-dependent data

IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans

Volumn 41, Issue 1, 2011, Pages 191-197

  Omitaomu, Olufemi A ^a   Jeong, Myong K ^b,d   Badiru, Adedeji B ^c  

^a OAK RIDGE NATIONAL LABORATORY   (United States)

^b the State University of New Jersey   (United States)

^c AIR FORCE INSTITUTE OF TECHNOLOGY   (United States)

^d Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Condition monitoring; inferential sensing; online prediction; support vector machine; system diagnosis

Indexed keywords

BATCH PROCESSING; DATA SAMPLE; DATA SETS; INFERENTIAL SENSING; LOWER AND UPPER BOUNDS; MACHINE LEARNING TECHNIQUES; NONSTATIONARY; ONLINE MONITORING; ONLINE PREDICTION; ONLINE SUPPORT; SENSOR DATA; SUPPORT VECTOR REGRESSIONS; SYSTEM DIAGNOSIS; TIME-DEPENDENT DATA; TIME-SERIES DATA; TRAINING DATA; TRAINING SAMPLE; TRAINING SETS; VARYING PARAMETERS; WEIGHT FUNCTIONS;

CONDITION MONITORING; FORECASTING; FUNCTION EVALUATION; NUCLEAR POWER PLANTS; SENSORS; SUPPORT VECTOR MACHINES; VECTORS;

BATCH DATA PROCESSING;

EID: 78349310408     PISSN: 10834427     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCA.2010.2055156     Document Type: Article

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