Calibrating Electromagnetic Conductivity Meter Using Recurrent Neural Network
摘要
This paper discusses the calibration method of electromagnetic conductivity meter, presents a method of using recurrent neural network to carry out calibration of electromagnetic conductivity meter, and gives the model of control object, as well as the calibration technology of electronic unit of conductivity meter. According to this artificial intelligence method, the efficiency and accuracy of calibration are improved, and it can guide the actual calibration work.