Anti-interference detection of mixed NO_X via In₂O₃-based sensor array combining with neural network model at room...

Herein, we report a noble metal doped In₂O₃-based sensor array applying back propagation neural network (BPNN) combined with whale optimization algorithm (WOA) toward anti-interference detection of mixed NO_X. The synthesis (simple hydrothermal methods) and characterization (XRD, SEM, EDS and XPS) of Pt, Au and Pd doped In₂O₃ with different morphologies were reported. The three of In₂O₃-based sensors were systematically tested at room temperature to investigate the performance of sensitivity, response-recovery time, repeatability and selectivity to NO and NO_X. Based on the sensor array composed of Pt, Au, and Pd doped In₂O₃ sensors combining WOA-BPNN prediction model, this work finally achieved the quantitative prediction of the components in the mixed NO and NO_X under the influence of cross interference.