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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM29060
Volume:
8 |
3 |
Mar 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The goal of this research is to create Full-Adder gate using a Complementary Metal Oxide Semiconductor (CMOS) and an Artificial Neural Network.We constantly bear in mind that any COMS circuit we design should be as inexpensive as possible.Multilayer ANN was employed in this work to create the circuit. Weights are employed to modify the value in our study, treating neurons as transistors and treating negative values as inverters.We are also designing Verilog-HdL Code to simply apply the full adder for experimenting an artificial neural network assigning weights to get appropriate results.
KEYWORDS
Publication Date
12/31/45355
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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