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Odor Classification by Neural Networks

Authors:
Sigeru Omatu
Mitsuaki Yano

Keywords: odor classification; odor sensors; neural netwoks; layered neural network; features of odor

Abstract:
It is important to detect an odor in the human living space and artificial electronic noses have been developed. This paper considers an array sensing system of odors and adopts a layered neural network for classification. We use all measurement data obtained from fourteen metal oxide semiconductor gas (MOG) sensors. Some sensors are not sensitive while others are sensitive. In order to classify odors, we use data from all fourteen sensors even if some of them are not sensitive so much. We will propose three methods to use the data by insensitive sensors to find the features of odors. Then, applying those features to a layered neural network, we will compare the classification results.

Pages: 154 to 159

Copyright: Copyright (c) IARIA, 2013

Publication date: January 27, 2013

Published in: conference

ISSN: 2308-4243

ISBN: 978-1-61208-246-2

Location: Seville, Spain

Dates: from January 27, 2013 to February 1, 2013