湖南大学学报（自然科学版）2009，Vol.36Issue(7)：82-84,3.
基于RBF神经网络的混合气体智能检测系统研究
Study on the Intelligent Measurement System of Mix Gases Based on RBFNN
摘要
Abstract
An Intelligent Measurement System was constructed based on gas sensor array and RBF neural network to measure the quality fraction of mix gases. The former was used to acquire the signals responding to H2, C2H4 and C2H2 with a concentration of 1×10-6～5×10-6 and CO with a concentration of 5×10-5～3×10-4, and the latter was introduced to improve the selectivity of the gas sensors. With a whole pattern of different sensors as input nodes of the network, the quality fraction of H2, C2H4 , C2H2 and CO could be correspondingly predicted as the output of the network. It can overcome the cross sensitivity among heterogeneous gas sensors and lead to more satisfied measurement results.关键词
智能系统/交叉灵敏度/传感器阵列/RBF神经网络Key words
intelligent system/cross sensitivity/sensor array/RBF neural network分类
信息技术与安全科学引用本文复制引用
常炳国..基于RBF神经网络的混合气体智能检测系统研究[J].湖南大学学报（自然科学版）,2009,36(7):82-84,3.基金项目
国家科技支撑计划项目资助(2006BAK31B03) （2006BAK31B03）
