Modeling of NC machine tool thermal error based on adaptive best-fitting WLS-SVM

Jixie Gongcheng Xuebao/Journal of Mechanical Engineering

Volumn 45, Issue 3, 2009, Pages 178-182

  Lin, Weiqing ^a,b   Fu, Jianzhong ^a   Chen, Zichen ^a   Xu, Yazhou ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b FUJIAN AGRICULTURE AND FORESTRY UNIVERSITY   (China)

Author keywords

Adaptive best fitting; Modeling; Weighted least squares support vector machine (WLS SVM)

Indexed keywords

ADAPTIVE BEST-FITTING; ERROR MODELING; ERROR VARIABLES; FITTING PARAMETERS; LEAST SQUARES METHODS; LEAST SQUARES-SUPPORT VECTOR MACHINES; MACHINING PRECISION; MODELING; NC MACHINE TOOLS; NOVEL METHODS; POSITION SENSORS; REGRESSION MODELS; SEARCH ALGORITHMS; SMART TEMPERATURE SENSORS; TEST RESULTS; THERMAL DEFORMATIONS; THERMAL ERROR COMPENSATIONS; THERMAL ERRORS; WEIGHTED LEAST SQUARES SUPPORT VECTOR MACHINE (WLS-SVM);

ADAPTIVE ALGORITHMS; CURVE FITTING; ERROR COMPENSATION; IMAGE RETRIEVAL; LEARNING ALGORITHMS; LEAST SQUARES APPROXIMATIONS; MACHINE TOOLS; MACHINING; REGRESSION ANALYSIS; SENSORS; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 64249090864     PISSN: 05776686     EISSN: None     Source Type: Journal    
DOI: 10.3901/JME.2009.03.178     Document Type: Article

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