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Proficient Prophecy of Foreign Exchange Rate using Artificial Neural Network: A Case of USD to INR

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 43 - Number 1
Year of Publication: 2012
Suresh Kumar Sharma
Vinod Sharma

Suresh Kumar Sharma and Vinod Sharma. Article: Proficient Prophecy of Foreign Exchange Rate using Artificial Neural Network: A Case of USD to INR. International Journal of Computer Applications 43(1):26-28, April 2012. Full text available. BibTeX

	author = {Suresh Kumar Sharma and Vinod Sharma},
	title = {Article: Proficient Prophecy of Foreign Exchange Rate using Artificial Neural Network: A Case of USD to INR},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {43},
	number = {1},
	pages = {26-28},
	month = {April},
	note = {Full text available}


The value of foreign exchange rate has vital role in today's global market. Know even the approximate value of the exchange rate a day before helps the businessman to plan their investments. In this research paper popular machine learning technique artificial neural network with back propagation is used for predicting the value of exchange rate value of USD in term of Indian Rupees. The inputs for neural network are prepared using moving average technique. The experimental setup is designed and implemented in MATLAB. The interesting results so obtained are shown in this paper.


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