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This document discusses using artificial neural networks and recurrent neural networks to forecast the exchange rate of the Indonesian Rupiah (IDR) against the US Dollar (USD). Specifically, it compares using the Backpropagation, Elman RNN, and Jordan RNN algorithms and evaluates using only technical analysis data versus combining technical and fundamental analysis data. The key findings are that the Elman RNN algorithm performed better than Backpropagation and Jordan RNN, and using both time series technic

Author

lady S

Language

EN