A reliability assessment method based on support vector machines for CNC equipment

DOI10.1007/S11431-009-0208-ZzbMath1187.68417OpenAlexW2164333713MaRDI QIDQ1045437

J. Blot

Publication date: 15 December 2009

Published in: Science in China. Series E (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11431-009-0208-z

zbMATH Keywords

radial basis functionparameter optimizationleast squares support vector machinesreliability assessmentperformance degradation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Search theory (90B40)

Cites Work

• Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives
• On a kernel-based method for pattern recognition, regression, approximation, and operator inversion
• Weighted least squares support vector machines: robustness and sparse approximation
• Step kinematic calibration of a 3-DOF planar parallel kinematic machine tool
• System reliability forecasting by support vector machines with genetic algorithms
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