Beta
23969

MODELING AND SIMULATION OF A NEW VLSI ANALOG CIRCUIT FOR ARTIFICIAL NEURAL NETWORKS APPLICATIONS

Article

Last updated: 24 Dec 2024

Subjects

-

Tags

-

Abstract

This paper presents modeling and simulation for a new VLSI –Artificial Neural Network (ANN) analog circuit designed in 0.34 μm CMOS technology. Differential voltage controlled current source (DVCCS) is used for making synaptic weights and activation functions and capacitors are used for dynamics . Multi output bidirectional neuron current mirror is achieved using super MOSFET which behaves as a single MOS transistor but with nearly zero channel modulation factor λ and intrinsic gain of more than 90 dB. Verification of successful operation of all circuit components were done using HSPICE program. Transfer characteristic of DVCCS with a given bias current which can be seen to have a trance conductance of about 160 μ S with band width reaches 400MHz.

DOI

10.21608/asat.2007.23969

Keywords

Differential Voltage current control (DVCCS), Super MOSFET, artificial neural network, Analog VLSI Neural network

Authors

First Name

MOHAMED

Last Name

ALAZAB

MiddleName

-

Affiliation

HIGHER TECHNOLOHICAL INSTITUE, DEPARTMENT OF ELECTRONICS AND COPMUTER ENGINEERING, RAMADAN TENGTH, EGYPT

Email

-

City

-

Orcid

-

Volume

12

Article Issue

ASAT Conference, 29-31 May 2007

Related Issue

4431

Issue Date

2007-05-01

Receive Date

2019-01-09

Publish Date

2007-05-01

Page Start

1

Page End

10

Print ISSN

2090-0678

Online ISSN

2636-364X

Link

https://asat.journals.ekb.eg/article_23969.html

Detail API

https://asat.journals.ekb.eg/service?article_code=23969

Order

51

Type

Original Article

Type Code

737

Publication Type

Journal

Publication Title

International Conference on Aerospace Sciences and Aviation Technology

Publication Link

https://asat.journals.ekb.eg/

MainTitle

MODELING AND SIMULATION OF A NEW VLSI ANALOG CIRCUIT FOR ARTIFICIAL NEURAL NETWORKS APPLICATIONS

Details

Type

Article

Created At

22 Jan 2023