Abstract
In recent years, technological developments of electronic circuit have made it possible to detect odors. There has been considerable interest in odor sensors in various fields. In our research, we utilize Quartz Crystal Microbalance sensors as odor sensors because they are inexpensive and have similar properties of human nose. Although an odor is detected by combining a lot of Quartz Crystal Microbalance sensors having different performances for odor detection, efficient algorithm for selection of these sensors is discussed insufficiently in this research field since the detection task with them is time consuming. To solve this problem, in this paper, we propose a sensor selection algorithm with Ant Colony Optimization and Support Vector Machine. The characteristic point of the proposed method is that it enables us to obtain an efficient set of sensors for detection of an odor rapidly. From experimental results with 22 Quartz Crystal Microbalance sensors, we confirmed our proposed method allowed us to obtain an efficient set of sensors for detection of odors.
