Study of odor recorder for dynamical change of odor using QCM sensors and neural network

An odor recorder, which records an odor and reproduces it any time, has been studied. In the present study, the odor recorder for recording the dynamical change of the odor was studied since the odor in the atmosphere is always changing. The system made up of active odor sensing system made by us and feedback error learning neural network was developed. The concentration profiles of two independent component vapors were successfully recorded using that system even in the situation of complicated changes of the concentrations.