文件名称:QuantitativeAnalysisofGasMixtureUsinganArtificialN
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优选了分析CO、H2和CH4混合气体的传感器阵列,构造了传感器信号预处理和神经网络
训练算法,从而建立了用于混合气体定量分析的人工嗅觉系统。实验结果证明,系统能够以较高的
精度分辨出3种气体的浓度。
-Optimization of the analysis of CO, H2 and CH4 mixed gas sensor array, constructs a sensor signal pre-processing and neural network training algorithm, which was established for quantitative analysis of gas mixtures of artificial olfactory system. The experimental results proved that the system is able to differentiate between high accuracy three kinds of gases.
训练算法,从而建立了用于混合气体定量分析的人工嗅觉系统。实验结果证明,系统能够以较高的
精度分辨出3种气体的浓度。
-Optimization of the analysis of CO, H2 and CH4 mixed gas sensor array, constructs a sensor signal pre-processing and neural network training algorithm, which was established for quantitative analysis of gas mixtures of artificial olfactory system. The experimental results proved that the system is able to differentiate between high accuracy three kinds of gases.
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运用人工神经网络进行混合气体定量分析的研究.caj