Using Artificial Neural Network for Compensation of Semiconductor Thermistor Nonlinearity

被引：0
|
作者：
Zaporozhets, O., V [1 ]
Shtefan, N., V [1 ]
机构：
[1] Kharkiv Natl Univ Radio Elect, Dept Metrol & Tech Expertise, Kharkiv, Ukraine
来源：
2019 IEEE 8TH INTERNATIONAL CONFERENCE ON ADVANCED OPTOELECTRONICS AND LASERS (CAOL) | 2019年
关键词：
artificial neural network; perceptron; learning; compensation of nonlinearity;
D O I：
10.1109/caol46282.2019.9019515
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A method for correcting the transformation function of a semiconductor thermistor using a nonlinearity compensator based on a three-layer perceptron is proposed. Using of computer simulation, the operability of the proposed method has been investigated, a comparative analysis has been carried out with polynomial compensators of nonlinearity.
引用
收藏
页码：703 / 706
页数：4
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