节点文献
机器嗅觉系统气味识别算法
Odour Recognition Algorithms for Machine Olfaction System
【摘要】 简单介绍机器嗅觉的发展概况,依据人鼻内嗅觉感受器细胞的嗅感原理提出气敏传感器阵列的信号模型;概括分析机器嗅觉的多变量模式分析技术,从其气味识别算法的角度,重点介绍统计模式分析(线性和非线性)和智能模式分析(人工神经网络和其它)的基本方法,对机器嗅觉系统的实现具有一定的指导意义.
【Abstract】 The developing process of machine olfaction is reviewed.The signal model of sensor arrays associated with specific odor classes is presented based on human chemosensory perception principle of olfaction cells.The multivariate pattern analysis techniques applied to machine olfaction system are introduced.The statistical pattern analysis(linear and nonlinear)and intelligent pattern analysis(artificial neural networks and others)are described.It is constructive for machine olfaction system to put into practice.
【关键词】 机器嗅觉;
阵列传感器;
模式分析;
识别算法;
【Key words】 machine olfaction; sensor arrays; pattern analysis; recognition algorithms;
【Key words】 machine olfaction; sensor arrays; pattern analysis; recognition algorithms;
【基金】 广东工业大学科研启动基金;广东省自然科学基金资助(05001836)
- 【文献出处】 传感技术学报 ,Chinese Journal of Sensors and Actuators , 编辑部邮箱 ,2006年06期
- 【分类号】TP391.4
- 【被引频次】16
- 【下载频次】552