Mixed gas concentration inversion based on the hierarchical feature fusion convolutional neural network

Ultrasensitive Online NO Sensor Based on a Distributed Parallel Self-Regulating Neural Network and Ultraviolet Differential Optical Absorption Spectroscopy for Exhaled Breath Diagnosis

“…Meanwhile, it can effectively improve the efficiency and accuracy of detection. − Some researchers in their studies have trained the preprocessed absorption spectra as a whole through CNN models. Meanwhile, different absorption characteristic regions of the spectrum contributing differently to the concentration prediction are not considered. − To better combine deep learning technology and spectroscopy technology, in this paper, we construct a distributed parallel self-regulating neural network (DPSRNN) model structure based on the absorption characteristics of UV absorption spectroscopy. The advantage of this model building method is that it builds a neural network based on the different contributions of absorption features in different regions of the spectrum to the concentration prediction, further improving the detection performance of the model for trace NO gas.…”