A Piezoresistive Pressure Sensor Modeling by Artificial Neural Networks

Journal of Optoelectronical Nanostructures

مقاله 5، دوره 9، شماره 4 - شماره پیاپی 34، اسفند 2024

نوع مقاله: Articles

شناسه دیجیتال (DOI): 10.30495/jopn.2024.32877.1308

نویسندگان

Behzad Hadi¹؛ Farzin Shama^{* 2}؛ Hamid Sherafat Vaziri³؛ Mohsen Eghbalkhah⁴

¹Mechanical Engineering Department, Faculty of Engineering, Razi University, Kermanshah, Iran

²Department of Electrical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran

³Electrical Engineering Department, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran

⁴Electrical Engineering Department, Faculty of Engineering, Razi University, Kermanshah, Iran

تاریخ دریافت: 07 دی 1402،  تاریخ بازنگری: 14 مرداد 1403،  تاریخ پذیرش: 09 آبان 1403 

چکیده

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. Each neuron uses an activation function of tangent sigmoid. 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 designed model has been tested using 30 percent of the data, which have been separated before for validation. The obtained mean square relative error (MSRE) error of this method is only 0.137 for test data set that marks good and strong accord between the proposed MLP modelled network and experimental data set.

کلیدواژه‌ها

ANN؛ Modelling؛ Piezoresistive sensor