Linearity Improvement Technique for Carbon Nanotube Sensor Using Relevance Vector Machines

摘要：

A linearity improvement technique is presented to carbon nanotube sensor in this paper. The technique is based on a new machine learn algorithm, relevance vector machines (RVM), which is used as an inverse model of the sensor. A carbon nanotube-based capacitive humidity sensor has been used as an example for demonstration. The results indicate that the RVM is an effective technique for improving the linearity of carbon nanotube sensor.

关键词： Linearity carbon nanotube sensor relevance vector machines

作者: WANG Xiaodong KANG Chuanhui YE Meiying WANG Ke

作者单位: Department of Electronic Engineering, Zhejiang Normal University, Jinhua, Zhejiang, China, 321004

会议类型: 国际会议

会议名称: 第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)

会议地点: 重庆

会议语种:英文

页码: 2055-2058

在线出版日期: 2009-08-01（万方平台首次上网日期，不代表论文的发表时间）