Sequence Analysis and MOC-SVM Classifier for OlfactionSensor Array Signals

摘要：

To extract the feature fingerprints from the measuring results, a symbolic representation of time series based on statistical analysis is employed to optimize the sensory array. A Multi-One-Class Support Vector Machine (MOC-SVM) classifier is designed based on the selected features for each kind of odor. Through the measuring and recognition of three kinds of odor, the methods proposed are verified.

关键词： symbolic representation sequence analysis Multi-One-Class SVM Classifier olfaction sensor array

作者: Zhang Wenna Qin Guojun Hu Niaoqing Xiang Li

作者单位: School of Mechatronics Engineering and Automation,National University of Defense Technology,Changsha 410073 China

会议类型: 国际会议

会议名称: The Third International Symposium on Test Automation & Instrumentation(第三届国际自动化测试与仪器仪表学术会议 2010 ISTAI)

会议地点: 厦门

会议语种:英文

页码: 817-822

在线出版日期: 2010-05-22（万方平台首次上网日期，不代表论文的发表时间）