UGC Approved Journal no 63975(19)

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

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIREY06064


Registration ID:
312859

Page Number

301-303

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Title

A Review paper on Artificial Neural Network

Abstract

This paper presents a concise survey of forecast procedure of Artificial Neural Network (ANN). It is utilized to improve forecast precision of the model with less dependency on test information or current value. The fundamental advances technology has been utilized in MATLAB are detailed alongside various ANN discrete set. The reason for the preparing is to limit mean square fault of the input equations. ANN model can be utilized effectively for expectation of yield boundaries which helps in ideal determination of machining boundaries with the end goal of measure arranging and streamlining of machining boundaries.

Key Words

Artificial Neural Network, LM Training algorithm.

Cite This Article

"A Review paper on Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.301-303, December-2018, Available :http://www.jetir.org/papers/JETIREY06064.pdf

ISSN


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 paper on Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp301-303, December-2018, Available at : http://www.jetir.org/papers/JETIREY06064.pdf

Publication Details

Published Paper ID: JETIREY06064
Registration ID: 312859
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 301-303
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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