Meilani, Difana and Richardo, Ivan (2011) CURRENCY EXCHANGE RATE FORECASTING USING ARTIFICIAL NEURAL NETWORKS BACKPROPAGATION METHOD. Other thesis, Andalas University.
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Text (CURRENCY EXCHANGE RATE FORECASTING USING ARTIFICIAL NEURAL NETWORKS BACKPROPAGATION METHOD)
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Abstract
ABSTRACT Since 1997, the rupiah currency has a tendency to change at any time since the economic crisis that hit Indonesia. One of the currencies of the most widely traded on international exchange market is the U.S. dollar. This paper will forecast 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 will be displayed online using PHP to construct the webpage. Keywords: currency exchange rates forecasting, back propagation, webpage design
| Item Type: | Thesis (Other) |
|---|---|
| Subjects: | R Medicine > RT Nursing |
| Divisions: | Fakultas Ekonomi > Ilmu Ekonomi |
| Depositing User: | Operator Repo Unand |
| Date Deposited: | 24 Mar 2016 04:05 |
| Last Modified: | 24 Mar 2016 04:05 |
| URI: | http://repo.unand.ac.id/id/eprint/1139 |
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