作　　者： ; ; ;

机构地区： 平顶山工学院

出　　处： 《安徽农业科学》 2007年第12期3744-3745,共2页

摘　　要： 将气体传感器阵列与神经网络模式识别技术相结合,构建了一个多组分混合气体定量检测系统,进行了初步的试验,并对试验方法进行了改进。结果表明,用该方法识别准确率接近93%,为畜舍内空气质量的在线检测打下了良好的基础。 The gas sensor array was combined with artificial neural network pattern recognition to form a mix-gas quantitative analysis system,Primarily test result of the system and some optimizing methods to the experiment were also given.The result showed that new technique was precise and effective in identification with recogzing precise rate of near 93%, and was feasible for practical multi-gas quantitative analysis system at swine buildings.

关 键 词： 畜舍 多组分气体 径向基函数神经网络 传感器阵列

领　　域： [农业科学] [农业科学] [农业科学]