UGC Approved Journal no 63975(19)

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

Volume 7 Issue 8
August-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2008240


Registration ID:
300015

Page Number

1822-1826

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Title

SOFTWARE EFFORT ESTIMATION USING NEURO-FUZZY APPROACH BASED ON LEVEN-MARQUARDT ALGORITHM

Authors

Abstract

Software effort estimation is the method of estimating the effort and expense required to build computer. Efficient software development is focused on an accurate estimate of effort. When an effective and appropriate approach is not used for estimation, it may lead to a failure of the project. There are a number of methods available for estimating the effort. This paper discusses the Leven-Marquardt algorithm used to train neural networks. The suggested methodology used the combination of neural networks and fuzzy logic as a neuro-fuzzy approach to the calculation of machine effort.

Key Words

Software Effort Estimation, Neural Networks, Feed Forward, COCOMO, Leven-marquardt, BPNN

Cite This Article

"SOFTWARE EFFORT ESTIMATION USING NEURO-FUZZY APPROACH BASED ON LEVEN-MARQUARDT ALGORITHM ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.1822-1826, August-2020, Available :http://www.jetir.org/papers/JETIR2008240.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

"SOFTWARE EFFORT ESTIMATION USING NEURO-FUZZY APPROACH BASED ON LEVEN-MARQUARDT ALGORITHM ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp1822-1826, August-2020, Available at : http://www.jetir.org/papers/JETIR2008240.pdf

Publication Details

Published Paper ID: JETIR2008240
Registration ID: 300015
Published In: Volume 7 | Issue 8 | Year August-2020
DOI (Digital Object Identifier):
Page No: 1822-1826
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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