【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。更多还原

【Abstract】 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.更多还原