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123640

Implementation of Electronic Nose Using Neural Network.

Article

Last updated: 22 Jan 2023

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Subjects

-

Tags

Electrical Engineering

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. 

DOI

10.21608/bfemu.2020.123640

Keywords

Electronic noses, Odor identification, Sensors, Neural Network. L Introduction

Authors

First Name

B.

Last Name

Khairallah

MiddleName

S.

Affiliation

Electrical Power Engineering Department., Faculty of Engineering., El-Mansoura University., Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

T.

Last Name

Hegazy

MiddleName

A.

Affiliation

Computer Engineering and Systems Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt

Email

-

City

Mansoura

Orcid

-

Volume

35

Article Issue

1

Related Issue

17860

Issue Date

2010-03-01

Receive Date

2010-11-11

Publish Date

2020-11-17

Page Start

82

Page End

88

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 35_Issue 1_Pages 82-88.pdf

PDF . 850.0kB

Link

https://bfemu.journals.ekb.eg/article_123640.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=123640

Order

13

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023