Scaled Conjugate Gradient ANN for Industrial Sensors Calibration

Abstract

In this paper, an artificial neural network is used to calibrate sensors that are commonly used in the industry fields. Usually, such sensors have the nonlinear input-output characteristic that makes their calibration process rather inaccurate and unsatisfied. An artificial neural network is utilized in an inverse model learning mode to precisely calibrate such sensors. The Scaled Conjugate Gradient (SCG) algorithm is used in the learning process. Three types of industrial sensors which are gas concentration sensors, force sensors, and humidity sensors are considered in this work. It is found that the proposed calibration technique gives fast, robust, and satisfactory results.