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基于气体传感器阵列的电子鼻对混合气体定量识别的研究
引用本文:姚智慧,徐保港,郝博.基于气体传感器阵列的电子鼻对混合气体定量识别的研究[J].电子工业专用设备,2006,35(6):57-60.
作者姓名:姚智慧  徐保港  郝博
作者单位:哈尔滨工业大学机电学院,黑龙江,哈尔滨,150001;哈尔滨工业大学机电学院,黑龙江,哈尔滨,150001;哈尔滨工业大学机电学院,黑龙江,哈尔滨,150001
摘    要:阐述了电子鼻的结构,并根据传感器阵列响应信号特性,推导出气体传感器阵列的响应矩阵及其对混合气体的响应;论述了前馈神经网络在电子鼻中的应用原理。最后,利用自制的实验装置对所建立的电子鼻进行性能测试。实验结果证明气体传感器阵列和神经网络模式识别技术所组成的电子鼻完全可以完成对混合气体浓度的识别。

关 键 词:电子  气体传感器阵列  模式识别  人工神经网络
文章编号:1004-4507(2006)06-0057-04
收稿时间:05 12 2006 12:00AM
修稿时间:2006年5月12日

An Olfactory System used to Identify Concentrations of Gases Mixture by Gas Sensors Array
YAO Zhi-hui,XU Bao-gang,HAO Bo.An Olfactory System used to Identify Concentrations of Gases Mixture by Gas Sensors Array[J].Equipment for Electronic Products Marufacturing,2006,35(6):57-60.
Authors:YAO Zhi-hui  XU Bao-gang  HAO Bo
Affiliation:Harbin Instiute of Technology, Harbin, 150001, PR China
Abstract:The article introduces the structure of robot olfaction briefly, and the response matrix of the gas sensors array and its response to mixed gas are deduced from the analysis of the characteristic of gas sensors array's response signal. Then the article discusses the principle of applying artificial neural network to robot olfactory system, and in the end we use the self-made testing device to test the performance of the robot olfactory system, the experiment results show that the robot olfactory system composed of gas sensors array and artificial neural network can complete the identification of concentration of mixed gasa bsolutely.
Keywords:Electronic nose  Gas sensors array  Pattern recognition  Artificial neural network
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