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149609

Implementation of Simple Neurons with Complete Hardware-Based Learning Capabilities.

Article

Last updated: 22 Jan 2023

OverviewSimilar Items

Subjects

-

Tags

Electronics and Communications Engineering

Abstract

 In artificial neural network , implementation of processing units (neurons) which have programmable connection weights is the most process that takes many research efforts. Most of these efforts are dedicated to the implementation using VLSI techniques . unfortunately, VLSI implementing are not available in most developing countries such as Egypt . in this paper , simple design for implementing ADALINE-like neurons in artificial neural network (ANN)with complete learning capabilities is presented. The proposed design is based on the commercially available electronic components, however , it can be easily extended to be implemented using mixed (digital / analog) VLSI technology. The used components are so minimized to get simple design . moreover, the number of input connections for the neuron could simply be increased by adding asmall resistor for each new connection input. While main forward blocks of the neuron, e.g. summing function , are implemented using analog circuitry, the control of connection weights is implemented using digitally controlled circuitry.

DOI

10.21608/bfemu.2021.149609

Authors

First Name

Hassan

Last Name

Soliman

MiddleName

H.

Affiliation

Electronics and Communications Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

hsoliman@mans.edu.eg

City

Mansoura

Orcid

-

Volume

23

Article Issue

1

Related Issue

21993

Issue Date

1998-03-01

Receive Date

1998-01-11

Publish Date

2020-03-01

Page Start

12

Page End

21

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 23_Issue 1_Pages 12-21.pdf

PDF . 329.3kB

Link

https://bfemu.journals.ekb.eg/article_149609.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=149609

Order

3

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