This reduces rounding issues and the need to use excessive numbers of decimal places.
In order to determine which is the fixed currency when neither currency is on the above list (i.e.
both are "other"), market convention is to use the fixed currency which gives an exchange rate greater than 1.000.
They also incorporate genetic algorithm as an optimizing technique for adapting parameters of ANN which is then compared with standard backpropagation and backpropagation combined with K-means clustering algorithm.
Finally, the authors find out that their suggested hybrid neural network is able to produce more accurate forecasts than the standard models and can be helpful in eliminating the risk of making the bad decision in decision-making process. Profits or losses accrue as the exchange rate of that currency fluctuates on the open market.
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