To retrieve the gas concentration accurately and rapidly, a new quantitative analysis technique based on Fourier transform infrared spectroscopy of interval extreme learning machine (ELM) model is proposed. Based on the idea of interval division, this approach firstly divides the whole spectrum into several subintervals, secondly establishes quantitative analysis model corresponding to each subinterval with ELM method, and finally selects the best subinterval combinations according to the determination coefficient of each model. Based on the above approach, wavelengths are selected in the spectrum of NO and NO2, and then establishs the quantitative analysis model using the selected spectrum combinations, respectively. The experimental results showed that, the testing set determination coefficient of NO and NO2 are 0.9999 and 0.9997, respectively. The outcome indicates that, compared with Interval partial least squares method, the proposed Interval ELM method can establish quantitative analysis model more rapidly and accurately.