大气杂质气体神经网络识别的推广性研究
Neural Network Generalization Analysis of Recognition for Gas Impurity in Air
提出利用物质的荧光光谱联合人工神经网络识别大气中杂质气体成分的新方法。
A new method for recognizing gas components in air based on nonlinear fluorescence spectra combined with a neural network model was proposed .
大气杂质