| 畜舍内混合气体定量检测系统的研究 |
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| 引用本文： | 葛广军,杨师斌,王俊.畜舍内混合气体定量检测系统的研究[J].安徽农业科学,2007,35(12):3744-3745. |
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| 作者姓名： | 葛广军 杨师斌 王俊 |
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| 作者单位： | 1. 平顶山工学院,河南平顶山,467001;2. 河南科技大学,河南洛阳,471003 |
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| 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.
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| 关 键 词： | 畜舍 多组分气体 径向基函数神经网络 传感器阵列 |
| 文章编号： | 0517-6611（2007）12-03744-02 |
| 收稿时间： | 2006-12-09 |
| 修稿时间： | 2006-12-09 |
Research on Multi-Gas Quantitative Analysis System at Swine Building |
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| GE Guang-jun, et al.Research on Multi-Gas Quantitative Analysis System at Swine Building[J].Journal of Anhui Agricultural Sciences,2007,35(12):3744-3745. |
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| Authors: | GE Guang-jun |
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| Institution: | Pingdingshan Industry College,Pingdingshan,Henan 467001 |
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| Abstract: | 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. |
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| Keywords: | Swine building Multi component-gas Radial basis function neural network Sensor array |
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