基于支持向量机的甲醛检测系统

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	英文篇名：Formaldehyde Detection System Based on Support Vector Machine. 作者：孙琳 英文作者：Sun Lin; 关键词：支持向量机 ; 甲醛 ; 检测系统 英文关键词：svm;;formaldehyde;;Detection Systems 中文刊名：化工设计通讯 英文刊名：Chemical Engineering Design Communications 机构：常州罗盘星检测科技有限公司; 出版日期：2019-04-28 出版单位：化工设计通讯 年：2019 期：04 语种：中文; 页：170+180 页数：2 CN：43-1108/TQ ISSN：1003-6490 分类号：TP181;X84

摘要

为了检测甲醛,理论和实践中已经出现了很多成熟的方法。但每种方法都存在一定的局限性。为了达到成本和检测效率的平衡,提出并实现了基于支持向量机的甲醛检测系统。通过数据训练,生成针对特定环境的支持向量机。当环境出现甲醛超过阈值时,针对该环境的支持向量机可以判断并报警。经过仿真和实验,该方法对环境有更好的适应性,在成本和效率方面达到了更好的平衡。
        In order to detect formaldehyde,many mature methods have appeared in theory and practice.But each method has its limitations.In order to balance the cost and detection ef?ciency,a formaldehyde detection system based on support vector machine is proposed and implemented.Through data training,support vector machines for speci?c environments are generated.When formaldehyde exceeds the threshold value in the environment,support vector machine(SVM)can judge and alarm the environment.Through simulation and experiment,the method has better adaptability to the environment and achieves a better balance in cost and ef?ciency.

引文

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