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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM23678

A Study of Machine Learning Algorithms for VLSI Design

Stream/Area:

-

Subject:

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Paper ID:

10.55041/IJSREM23678

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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.

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D

Dr.V.Jayapradha

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Abstract

Very Large Scale Integrated (VLSI) circuits have been a vast field in the semiconductor world and to make the machines behave as humans the popular technology used is Artificial Intelligence. Machine learning is the subset of AI, is the study of various algorithms and model which allows one to learn the machine from past data and train the machine to explicit the present. This paper, a brief review of various machine learning algorithms supports all the stages of VLSI IC Fabrication.

KEYWORDS

VLSI Machine Learning SVM KNN and CNN.

Cite This Article

Dr.V.Jayapradha, "A Study of Machine Learning Algorithms for VLSI Design," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM23678

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Publication Date

6/16/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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