用计算机模拟方法对气体传感器阵列进行模拟，并建立相应软件，用该软件研究由ＣＯ，ＣＨ４，Ｃ２Ｈ５ＯＨ，ｉ－Ｃ４Ｈ１０四种气体组成的混合气体体系，并对气体传感器阵列测得的信号与混合气体浓度之间的关系进行深入的研究．用人工神经网络法和多元线性回归分析法对模拟获得的数据处理，建立传感器阵列数学模型，并对两种模型进行比较，以找出最优的预报数学模型，用于预报实际体系 The gas sensor array was simulated by computer simulation method and the corresponding software was established. The software was used to study the mixed gas system composed of four gases CO, CH4, C2H5OH and i-C4H10. The gas sensor array was used to measure the signal and the mixture Gas concentration in-depth study of the relationship between. Artificial neural network and multivariate linear regression analysis of the data obtained by the simulation process, the establishment of the sensor array mathematical model, and the two models were compared to find the best mathematical model for forecasting, used to forecast the actual system