Using Artificial Neural Network for Compensation of Semiconductor Thermistor Nonlinearity

Публікація:
Using Artificial Neural Network for Compensation of Semiconductor Thermistor Nonlinearity

dc.contributor.author	Запорожець, О. В.
dc.contributor.author	Штефан, Н. О.
dc.date.accessioned	2020-07-01T10:49:15Z
dc.date.available	2020-07-01T10:49:15Z
dc.date.issued	2019
dc.description.abstract	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.	uk_UA
dc.identifier.citation	Zaporozhets, O.V. Using Artificial Neural Network for Compensation of Semiconductor Thermistor Nonlinearity [Text] / O.V. Zaporozhets, N.V. Shtefan // 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL), Sozopol, Bulgaria, 6-8 Sept. 2019. – PP. 703–706.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/12355
dc.language.iso	en	uk_UA
dc.publisher	2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL)	uk_UA
dc.subject	artificial neural network	uk_UA
dc.subject	perceptron	uk_UA
dc.subject	learning	uk_UA
dc.subject	compensation of nonlinearity	uk_UA
dc.title	Using Artificial Neural Network for Compensation of Semiconductor Thermistor Nonlinearity	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication