Research on hydrogen sensor detection system based on BP neural network

In order to improve the accuracy and efficiency of hydrogen detection through advanced machine learning algorithms, this paper first Outlines the basic principle of hydrogen sensor and its importance in hydrogen detection, and then introduces the basic structure and training algorithm of BP neural network in detail. On this basis, a hydrogen sensor detection system based on BP neural network is designed. The system can automatically collect the output signal of the hydrogen sensor, and carry out feature extraction and pattern recognition of the signal through BP neural network, so as to achieve intelligent prediction of hydrogen concentration. In order to improve the accuracy and robustness of the system, the experimental data are also preprocessed. Through experimental verification, it is found that the system has excellent performance in hydrogen concentration measurement, with high accuracy and stability.