The NTC thermistor temperature calibration method based on machine learning may have some measure-ment errors due to the differences in manufacturing process and storage environment.In this paper,the support vec-tor machine regression model in machine learning technology is used to calibrate 4 groups of NTC thermistor sam-ples.The results show that compared with the traditional method,the deviation between the temperature of ther-mistor and the standard temperature is(-0.02～0.02)℃,and the model has higher precision and accuracy.
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