摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑新闻-机器学习的新研究-支持向量机是一份报告的主题。根据研究称，NewsRx记者从中华人民共和国杭州进行的新闻报道，“电子鼻是一种仿生技术，它利用传感器阵列和模式识别算法来模拟人类嗅觉系统。本研究开发了一种热去氧-光电离离子迁移率电子NOSE(TD-PIM-Nose)系统，采用热脱附直接取样和湿度控制，用光电离离子迁移管作为虚拟传感器阵列进行元件分离和d检测和模式识别算法，用于信号处理，以分离和识别样本。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning - Support Vector Machines is the subject of a report. Accordingto news reporting from Hangzhou, People’s Republic of China, by NewsRx journalists, research stated,“Electronic nose is a bionic technology that uses sensor arrays and pattern recognition alg orithms to mimicthe human olfactory system. This study developed a thermal deso rption-photoionization ion mobilityelectronicnose (TD-PIM-Nose) system, employ ing thermal desorption for direct sampling and humiditycontrol, with a photoion ization ion mobility tube as virtual sensor array for component separation and detection, and pattern recognition algorithms for signal processing to differenti ate and identify samples.”
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