Offset compensation for ZMPT101B sensor caused by influential factors in sensor measurement using artificial neural network calibration

Abstract

Conversion of measurement values often has subjective or objective errors, caused by influencing factors other than standard conditions or conversion operations in programming... These errors are called errors. number caused by influencing factors. Eliminating these errors is the task of measurement techniques in data collection and monitoring systems. Currently, artificial neural networks are one of the modern methods to solve problems with uncertain objects. In this study, artificial neural networks are used to eliminate errors in measurement sensors, caused by factors that directly affect the results.