一种新型的红外甲烷测量定量分析模型

在分析常用的红外气体浓度定量分析数学模型朗伯-比尔定律之不足的基础上，利用RBF神经网络良好的学习能力、泛化能力和非线性映射能力，以RBF网络为核心，通过训练RBF网络得到红外探测器输出信号、温度与甲烷浓度的关系，从而提出了一种新型的红外甲烷浓度测量定量分析模型.分析与实验表明，该模型在甲烷检测中具有较高的精度.

A quantitative analysis model to determine methane concentration by infrared absorbance method

Discussed a series of disadvantages of Beer Lambert’s law, which had been extensively used in determining infrared gas concentration. For RBF neural networks’ good learning, generalizing and nonlinear mapping abilities, a quantitative analysis model based on RBF was proposed in order to replace the law in determining methane concentration by infrared absorbance method. The model presented the relation of methane gas sensors output signal and a temperature signal to methane concentration data by training of RBF neural networks. The experiments show that the model has better performance on accuracy.