Santhosh, K V and Roy, B K (2014) A Soft Calibration Technique for Thermistor Using Support Vector Machine. In: Proceedings of the Third International Conference on Soft Computing for Problem Solving, Advances in Intelligenand Computingt Systems and soft computing. springer, pp. 297-306.

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Abstract

This paper aims at designing an calibration technique for temperature measurement using support vector machine. The objectives of the present work are: (i) to extend the linearity range of measurement to 100 % of input range, and (ii) to make measurement technique adaptive to variations in physical parameters of thermistor like reference resistance and temperature coefficient. Support vector machine (SVM) is trained to achieve the proposed objectives. The proposed measurement technique is tested considering variations in physical parameters of thermistor like reference resistance ðRoÞ and temperature coefficient. Results show that the proposed intelligent technique has fulfilled the set objectives

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