The output characteristics of pressure sensor affected by environmental factors

especially temperature changes.In order to solve this problem

a nonlinear regression model is presented based on support vector machine（SVM）.The approximate ability of the SVM to nonlinear function is utilized to build the nonlinear regression correction model.A nonlinear mapping relation between sensor output and the actual voltage values is established to achieve the correction of pressure sensor.The experimental results show that the model can decrease the correction of the temperature changes effectively

while both the measurement precision and temperature stability are improved.