UGC Approved Journal no 63975(19)

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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:
JETIRCK06002


Registration ID:
204632

Page Number

9-12

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Title

PREDICTION OF GOLD PRICE USING BACK PROPOGATION NETWORK ALGORITHM

Abstract

Gold price plays a crucial role in the economy of any country, due to its unique features and the various purposes it is used for. In this research paper Back propagation algorithm is used for forecasting the gold price. In the research implementation number of activation functions and implemented along with some of the macro economic factors of the World Economy such as Dow Jones Index, Oil prices, Currency exchange rates etc., The historical values of the above mentioned variables for the past two years and then forecasting is done based on the trends and patterns in the history. The algorithm is trained and tested considering the performance measures i.e. Coefficient of determination (R2) and Mean square error (MSE).

Key Words

Artificial Neural Network, Back Propagation, Gold price and Forecasting.

Cite This Article

"PREDICTION OF GOLD PRICE USING BACK PROPOGATION NETWORK ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.9-12, June-2019, Available :http://www.jetir.org/papers/JETIRCK06002.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

"PREDICTION OF GOLD PRICE USING BACK PROPOGATION NETWORK ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp9-12, June-2019, Available at : http://www.jetir.org/papers/JETIRCK06002.pdf

Publication Details

Published Paper ID: JETIRCK06002
Registration ID: 204632
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 9-12
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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