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71224

APPLICATION OF ARTIFlClAL NEURAL NETWORKS FOR IDENTIFICATION OF A MICRO-ALTERNATOR SYSTEM

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Last updated: 04 Jan 2025

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Abstract

The paper describes the application of artificial neural networks for identification
using experimental data of a computer controlled micro-alternator system.
Mathematical algorithms are described in detail and associated architectures of
analog artificial neural networks are presented. The accuracy of the identified
model is assessed by direct comparison between micro-alternator outputs and
neural network identified model outputs.

DOI

10.21608/erjm.2000.71224

Authors

First Name

E.S.

Last Name

Abdin

MiddleName

-

Affiliation

Electrical Engineering Dept., Faculty of Engineering, Minufiya University, Shebin El-Kom, Egypt

Email

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City

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Orcid

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First Name

T.A.

Last Name

Mohammed

MiddleName

-

Affiliation

Electrical Engineering Dept., Faculty of Engineering, Minufiya University, Shebin El-Kom, Egypt

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City

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Orcid

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Volume

23

Article Issue

4

Related Issue

10848

Issue Date

2000-10-01

Receive Date

2020-02-15

Publish Date

2000-10-01

Page Start

107

Page End

118

Print ISSN

1110-1180

Online ISSN

3009-6944

Article File

ERJM_Volume 23_Issue 4_Pages 107-118.pdf

PDF . 255.6kB

Link

https://erjm.journals.ekb.eg/article_71224.html

Detail API

https://erjm.journals.ekb.eg/service?article_code=71224

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Original Article

Type Code

1,118

Publication Type

Journal

Publication Title

ERJ. Engineering Research Journal

Publication Link

https://erjm.journals.ekb.eg/

MainTitle

APPLICATION OF ARTIFlClAL NEURAL NETWORKS FOR IDENTIFICATION OF A MICRO-ALTERNATOR SYSTEM

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Article

Created At

22 Jan 2023