Abstract
Although the identification of various kinds of odors in our daily life is important, few artificial odor sensing systems have been reported. From the biomimetic point of view, the use of plural sensors to recognize the output pattern of a sensor array for such identification is very promising. An odor sensor using a quartz-resonator array and neural-network pattern recognition has been previously reported. In the present study, optimization of the sensor-array components has been made and the recognition probability has been improved.
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