UGC Approved Journal no 63975(19)

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

Volume 5 Issue 10
October-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIRDQ06040


Registration ID:
229837

Page Number

281-286

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Title

Adhoc Theoretical Approach for Indian Premier League Matches

Abstract

As the technology is increasing in our day to day life, it has taken place in sports also. From implying the rules correctly to, to predict the outcome of the match. This paper emphasise on the theoretical approach to predict the outcome of Indian Premiere League (IPL) matches. A Neural Network has been suggested to compare stats of a match like team, venue, pitch report etc., for the prediction of the outcome and predict which team will win the match. This theory also consider the star player of a team for the previous match and his stats with current playing team.

Key Words

Adhoc Theoretical Approach for Indian Premier League Matches

Cite This Article

"Adhoc Theoretical Approach for Indian Premier League Matches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.281-286, October 2018, Available :http://www.jetir.org/papers/JETIRDQ06040.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

"Adhoc Theoretical Approach for Indian Premier League Matches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp281-286, October 2018, Available at : http://www.jetir.org/papers/JETIRDQ06040.pdf

Publication Details

Published Paper ID: JETIRDQ06040
Registration ID: 229837
Published In: Volume 5 | Issue 10 | Year October-2018
DOI (Digital Object Identifier):
Page No: 281-286
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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