UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1906R76


Registration ID:
215914

Page Number

256-259

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Title

A Review on Classification of Electrical Circuits Using Machine Learning Approaches

Abstract

Electrical diagram is establishment of concentrates in electrical science. A circuit outline pass on various information about the system. Behind any gadget there are a ton of electrical fixings which play out their particular undertakings, today all the electrical programming instruments fail to effectively change over the information subsequently from a circuit picture diagram to digital structure. Thusly electrical engineers ought to physically enter all information into PCs, and this strategy requires some time and conveys errors with high likelihood. Moreover, when the outline is hand drawn, the issue is increasingly confused for any electrical investigation. This paper reviews the various procedures of hand drawn optical circuit recognition.

Key Words

Optical circuit recognition, electrical circuit, sketch recognition.

Cite This Article

"A Review on Classification of Electrical Circuits Using Machine Learning Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.256-259, June 2019, Available :http://www.jetir.org/papers/JETIR1906R76.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Review on Classification of Electrical Circuits Using Machine Learning Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp256-259, June 2019, Available at : http://www.jetir.org/papers/JETIR1906R76.pdf

Publication Details

Published Paper ID: JETIR1906R76
Registration ID: 215914
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 256-259
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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