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Research on Detection of CO in Mine Based on BP Neural Network
Author(s): 
Pages: 40-42
Year: Issue:  10
Journal: INSTRUMENTATION TECHNOLOGY

Keyword:  CO检测交叉敏感信息融合BP神经网络;
Abstract: 文章采用热催化传感器和电化学式气体传感器的配合使用,为了解决两种传感器对矿井一氧化碳和甲烷气体的"交叉敏感"问题,提出了一种基于BP神经网络技术的传感器系统.研究了采用两种传感器组成的多传感器阵列与BP神经网络相结合来实现一氧化碳气体浓度精确检测的方法.实验证明,利用基于BP神经网络的多传感器阵列模型,能有效的提高对井下一氧化碳气体的测量精度.
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