Verification of data for the implementation of the forecast of dollar using artificial neural networks

Received: November 30, 2016
Accepted: November 30, 2016
Authors: 

Tremba N., Dronyuk I.

The moving average method with the 4 samples window width is used to raise the weekly forecast of the US dollar exchange rate accuracy. The non-iterative artificial neural network with the radial basis functions is used for. In the end we got the forecast error less than 1%