Currency Exchange Rate Forecasting Using Artificial Neural Networks Backpropagation Method | Zendy

Difana Meilani | Zendy; Ivan Richardo | Zendy

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Currency Exchange Rate Forecasting Using Artificial Neural Networks Backpropagation Method

Author(s) -

Difana Meilani,

Ivan Richardo

Publication year - 2012

Publication title -

international journal of green computing

Language(s) - English

Resource type - Journals

eISSN - 1948-5018

pISSN - 1948-5026

DOI - 10.4018/jgc.2012070102

Subject(s) - currency , backpropagation , artificial neural network , exchange rate , foreign exchange market , inflation (cosmology) , liberian dollar , computer science , economics , monetary economics , econometrics , artificial intelligence , finance , physics , theoretical physics

Since 1997, the rupiah currency has a tendency to change at any time since the economic crisis that hit Indonesia. One of the most widely traded currencies in the international exchange market is the U.S. dollar. This paper forecasts the exchange rate by using back propagation neural networks. Variables that affecting currency exchange rates is inflation, gross national product and interest rates. After performing data processing with the help of software VB.net forecasting results and forecasting program, it is displayed online by using PHP to construct the webpage.

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