Nonlinear Calibration of pH Sensor Based on the Back-propagation Neural Network

The relationship between pH and voltage output of the pH sensor with glass electrode is nonlinear. To improve the accuracy of the pH sensor, many algorithms have been proposed. This paper mainly focuses on nonlinear calibration of pH sensor using Back-propagation neural network. The operating principle of the glass electrode is introduced in detail, and then, the methods and the principles of sensor calibration are discussed. The experimental results demonstrate that the method is efficient and the system is reliable.

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