Implementation of Electronic Nose Using Neural Network.
Khairallah, B., Hegazy, T. (2020). Implementation of Electronic Nose Using Neural Network.. EKB Journal Management System, 35(1), 82-88. doi: 10.21608/bfemu.2020.123640
B. S. Khairallah; T. A. Hegazy. "Implementation of Electronic Nose Using Neural Network.". EKB Journal Management System, 35, 1, 2020, 82-88. doi: 10.21608/bfemu.2020.123640
Khairallah, B., Hegazy, T. (2020). 'Implementation of Electronic Nose Using Neural Network.', EKB Journal Management System, 35(1), pp. 82-88. doi: 10.21608/bfemu.2020.123640
Khairallah, B., Hegazy, T. Implementation of Electronic Nose Using Neural Network.. EKB Journal Management System, 2020; 35(1): 82-88. doi: 10.21608/bfemu.2020.123640

Implementation of Electronic Nose Using Neural Network.

MEJ- Mansoura Engineering Journal
Article 13, Volume 35, Issue 1, March 2010, Page 82-88  XML PDF (830.06 K)
Document Type: Research Studies
DOI: 10.21608/bfemu.2020.123640
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Authors
B. S. Khairallah* 1; T. A. Hegazy2
1Electrical Power Engineering Department., Faculty of Engineering., El-Mansoura University., Egypt.
2Computer Engineering and Systems Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt
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
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