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.

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封闭舱室不能与大气中的空气进行交换，必须去除舱室中有害杂质，维持必需的气体成分和纯净度，需要一套有效的空气调节和再生装置来完成这一任务。

The air of close cabin can't exchange with that of atmosphere, the harmful impurity must be wiped off from cabin, in which the purity and element of gas needed can be maintained.

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