UGC Approved Journal no 63975(19)

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

Volume 8 Issue 6
June-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2106751


Registration ID:
311298

Page Number

f367-f372

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Title

Optimization of Contractor's Bid Using ANN

Abstract

This research paper focuses on designing the most flexible and convenient approach for optimizing contractor’s bid using the most reliable and smart ANN (Artificial Neural Network) technique. It begins from exploring the various key aspects related to the most dedicated and earliest phase of any construction project i.e., tendering or bidding. The idea of this project focuses on disadvantages of current tendering system in India and find most required solutions to each of them by developing a unique algorithm. The project does not only simplify the e-tendering process but also promote growth in economy by reducing time required to allot a tender. We believe this project, if implemented, could be in interest of citizens of this country.

Key Words

Artificial Neural Network, contracts management, tendering, bidders.

Cite This Article

"Optimization of Contractor's Bid Using ANN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.f367-f372, June-2021, Available :http://www.jetir.org/papers/JETIR2106751.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

"Optimization of Contractor's Bid Using ANN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppf367-f372, June-2021, Available at : http://www.jetir.org/papers/JETIR2106751.pdf

Publication Details

Published Paper ID: JETIR2106751
Registration ID: 311298
Published In: Volume 8 | Issue 6 | Year June-2021
DOI (Digital Object Identifier):
Page No: f367-f372
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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