Prediction of Gold Price via Feed Forward Neural Network
International Research Journal of Modernization in Engineering Technology and Science · 2023
A precise and accurate model of the price of gold must be created in order to manage assets due to its special characteristics.In this study, the artificial neural network (ANN) model and the conventional statistical model of ARIMA (autoregressive integrated moving average) were both utilized to predict the price of gold.To assess the effectiveness of various constructed models, three performance metrics-the coefficient of determination (R2), root mean squared error (RMSE), and mean absolute error (MAE)-are used.The findings demonstrate that, in terms of various performance metrics throughout the training and validation phases, the ANN model beats the ARIMA model.