| 医用电子鼻气体传感器阵列优化方法 |
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| 引用本文： | 胥勋涛,田逢春,杨先一.医用电子鼻气体传感器阵列优化方法[J].传感器世界,2009,15(5):17-20. |
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| 作者姓名： | 胥勋涛 田逢春 杨先一 |
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| 作者单位： | 1. 绵阳职业技术学院,621000
2. 重庆大学通信工程学院 |
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| 基金项目： | 人事部留学回国人员科技活动择优资助项目(优秀类)基金 |
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| 摘 要： | 电子鼻气体传感器阵列存在冗余和相关，将对分类识别效果产生影响。提出并实现了一种新的医用电子鼻气体传感器阵列优化方法，利用改进遗传算法设定气体传感器的重要性系数，以去除传感器阵列的冗余和相关，提高系统的判别能力。新的方法分别用于五种乳癌特征气体和七种伤口病原菌检测，使正确识别率得到较大提高。
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| 关 键 词： | 医用电子鼻 阵列优化 改进遗传算法 乳癌诊断 伤口病原菌检测 |
Gas sensors array optimization for medical electronic noses |
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| XU Xun-tao,TIAN Feng-chun,YANG Xian-yi.Gas sensors array optimization for medical electronic noses[J].Sensor World,2009,15(5):17-20. |
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| Authors: | XU Xun-tao TIAN Feng-chun YANG Xian-yi |
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| Affiliation: | 1.Mianyang Vocational and Technical College;Mianyang;Sichuan 621000;China 2.College of Communication Engineering;Chongqing University;Chongqing 400044;China |
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| Abstract: | Since there are some redundancy and correlation in gas sensor array, which will affect the discriminating ability of e-nose (electronic-nose), a new method for gas sensors array optimization for medical e-nose is designed and implemented. To reduce the redundancy and correlation of gas sensor array, and to enhance the discriminating ability of the e-nose system, the weight coefficient of each gas sensor is set by an improved genetic algorithm. The proposed new method is applied to five types of breast cance... |
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| Keywords: | medical electronic nose array optimization improved genetic algorithm breast cancer diagnosis wound pathogen detection |
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