Genetic Algorithm Neural Network Model vs Backpropagation Neural Network Model for GDP Forecasting
نویسندگان
چکیده
This paper evaluates the usefulness of neural networks in GDP forecasting. It is focused on comparing a neural network model trained with genetic algorithm (GANN) to a backpropagation neural network model, both used to forecast the GDP of Albania. Its forecasting is of particular importance in decision-making issues in the field of economy. The conclusion is that the GANN model achieves higher accuracy on GDP forecasting. AG improves ANN model performance compared with standard backpropagation ANN model.
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