A support vector machine(SVM) complex calibration approach was proposed to solve the parameters uncertainty and coupling nonlinearity.The simulation of the calibration of a multi-dimensional sensor was conducted by the SVM complex calibration method

which was then utilized to calibrate a six-dimensional force sensor system.It can be seen from the results that

as compared with other traditional calibration methods

the SVM complex calibration method can improve the calibration accuracy significantly

without increasing data samples;additionally

the complex calibration method also has better generalization performance in comparison with the SVM black box modeling

indicating that it can provide a basis for the design of sensors.