A Piezoresistive Pressure Sensor Modeling by Artificial Neural Networks

Subject Areas : Journal of Optoelectronical Nanostructures

Behzad Hadi ¹ , Farzin Shama ^{2 *} , Hamid Sherafat Vaziri ³ , Mohsen Eghbalkhah ⁴

1 - Mechanical Engineering Department, Faculty of Engineering, Razi University, Kermanshah, Iran
2 - Electrical Engineering Department, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran E-mail: [e-mail]
3 - Electrical Engineering Department, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran E-mail: [e-mail]
4 - Electrical Engineering Department, Faculty of Engineering, Razi University, Kermanshah, Iran

Received: 2023-12-28 Accepted : 2024-04-30 Published : 2024-11-15

Keywords: ANN, Modelling, Piezoresistive sensor,

Abstract :

An efficient artificial neural network (ANN) model for a pressure sensor is presented in this paper. This pressure sensor has a piezoresistive structure and its experimental data is used in this work to train and test the proposed ANN model. The selected network is a multi-layer perceptions ANN type, which has one hidden layer with five neurons inside. The proposed MLP modelled system has been trained to recognize the output of the pressure sensor, which is a generated voltage in millivolts, according to the temperature and pressure levels. The obtained mean square relative error (MSRE) error of this method is only 0.137 for test data set.

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