Improvement of identification capability in an odor-sensing system
Improvement of identification capability in an odor-sensing system
复制标题
提高气味传感系统的识别能力
DOI：
10.1016/0925-4005(91)80009-9
复制
发表时间：
1991
影响因子：
8.4
通讯作者：
Y. Asakura
中科院分区：
文献类型：
--
作者：
T. Nakamoto;A. Fukuda;T. Moriizumi;Y. Asakura
识别具有部分重叠特异性的气体传感器阵列的输出模式在气味识别中是有价值的。作者开发了一种使用石英谐振器传感器阵列和神经网络模式识别的方法，可以区分威士忌香气之间的细微差异。在本研究中，测量系统已被改进，通过修改样品流动系统，包括在传感膜设置的一些脂质材料。识别能力已从上一次报告中的76%提高到94%的识别概率。
Recognition of the output pattern from an array of gas sensors with partially overlapped specificity is valuable in odor identification. The authors have developed a method using a quartz-resonator sensor array and neural-network pattern recognition, with which the fine differences among whisky aromas can be discriminated. In the present study, the measurement system has been improved by modifying the sample flow system and including a few lipid materials in the sensing membrane set. The identification capability has now been raised from 76% in the previous report to a recognition probability of 94%.