【摘要】 基于人工神经网络气体分析原理与误差形成原因的分析基础上，指出样本质量与网络学习的局部最小是影响气体分析精度的主要原因。研究和建立了样本预处理系统和网络的改进学习算法，对二元混合气的分析测试进行了试验。结果显示，上述措施有效改善和提高了神经网络对气体分析的精度。更多还原

【Abstract】 In this paper, from investigation of the principle and the error creation of neural network based on gas analysis,the primary factor of low precision for gas analysis is the sample quality and the local minimum of network training. To solve these problems,a sample pretreatment system and an improved network training algorithm are proposed and tested on a binary gas mixture. the experiment results shows that the precision of the gas analysis have been improved greatly through the above measure.更多还原