@article{Asilian_Zanjani_2024, title={Application of Levenberg-Marquardt Backpropagation Algorithm in Artificial Neural Network for Self-Calibration of Deflection Type Wheatstone Bridge Circuit in CO Electrochemical Gas Sensor}, volume={18}, url={https://oiccpress.com/Majlesi-Journal-of-Electrical-Engineering/article/application-of-levenberg-marquardt-backpropagation-algorithm-in-artificial-neural-network-for-self-calibration-of-deflection-type-wheatstone-bridge-circuit-in-co-electrochemical-gas-sensor/}, DOI={10.30486/mjee.2023.1988651.1157}, abstractNote={The unique properties of carbon monoxide and its high combustibility have led to the creation of various ‎sensors, such as electrochemical sensors and different circuits, to read its output. In this article, a deflection-type ‎Wheatstone bridge is used to measure changes in the sensor resistance, and the output voltage is connected to a 12-‎bit analog-to-digital converter through an adjustable precision amplifier. Next, a new method is proposed for self-calibrating the CO sensor. The Levenberg-Marquardt backpropagation algorithm (LMBP) is utilized in the Artificial ‎Neural Network model to minimize the Mean Squared Error (MSE) and identify the most suitable parameters in the ‎proposed method.‎‏ ‏The model under consideration has been developed and trained using real-time data.‎‏ ‏Based on ‎the experimental and evaluation outcomes, it can be concluded that the suggested model has an MSE value of ‎‎0.28249 and an R2 coefficient of determination of 0.99992, indicating high accuracy and precision. The proposed ‎sensor and calibration method have potential applications in various applications, including industrial and domestic ‎environments where CO monitoring is necessary.‎}, number={1}, journal={Majlesi Journal of Electrical Engineering}, publisher={OICC Press}, author={Asilian, Amirhosein and Zanjani, S. Mohammadali}, year={2024}, month={Apr.}, keywords={Electrochemical Sensor, CO Monitoring, Levenberg-Marquardt Backpropagation Algorithm, Mean Squared Error, ‎Training-Validation and Testing (TVT), Coefficient of Determination} }