Subject Area
Electrical Engineering
Article Type
Original Study
Abstract
Electronic Noses were engineered to mimic the mammalian olfactory system within an instrument designed to obtain repeatable measurements, allowing identifications and classifications while eliminating operator fatigue. They are used in several real-life applications such as food industry, environment protection, and gas identification. In this paper, an odor identification problem is addressed, where it is required to identify certain products according to their odors. An electronic nose is constructed using a number of sensors and a neural network to perform the identification. Experimental results showed that the proposed multilayer perceptron structure can identify new products with more than 90% accuracy.
Keywords
Electronic noses; Odor identification; Sensors; Neural Network. L Introduction
Recommended Citation
Khairallah, B. and Hegazy, T.
(2020)
"Implementation of Electronic Nose Using Neural Network.,"
Mansoura Engineering Journal: Vol. 35
:
Iss.
1
, Article 13.
Available at:
https://doi.org/10.21608/bfemu.2020.123640
