@inproceedings{4a0d59eb46bc4363816cc32fdbca5a41,
title = "A soft calibration technique for thermistor using support vector machine",
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 (Ro) and temperature coefficient. Results show that the proposed intelligent technique has fulfilled the set objectives.",
author = "Santhosh, {K. V.} and Roy, {B. K.}",
note = "Publisher Copyright: {\textcopyright} Springer India 2014.; 3rd International Conference on Soft Computing for Problem Solving, SocProS 2013 ; Conference date: 26-12-2013 Through 28-12-2013",
year = "2014",
doi = "10.1007/978-81-322-1771-8_26",
language = "English",
volume = "258",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "297--306",
editor = "Bansal, {Jagdish Chand} and Millie Pant and Kusum Deep and Atulya Nagar",
booktitle = "Proceedings of the 3rd International Conference on Soft Computing for Problem Solving, SocProS 2013",
address = "Germany",
}