{"title":"基于人工神经网络的半导体热敏电阻非线性补偿","authors":"O. Zaporozhets, N. Shtefan","doi":"10.1109/CAOL46282.2019.9019515","DOIUrl":null,"url":null,"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.","PeriodicalId":308704,"journal":{"name":"2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Artificial Neural Network for Compensation of Semiconductor Thermistor Nonlinearity\",\"authors\":\"O. Zaporozhets, N. Shtefan\",\"doi\":\"10.1109/CAOL46282.2019.9019515\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":308704,\"journal\":{\"name\":\"2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAOL46282.2019.9019515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAOL46282.2019.9019515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Artificial Neural Network for Compensation of Semiconductor Thermistor Nonlinearity
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.