پيش بيني قيمت نفت خام با استفاده از هموارسازي موجك و شبكه عصبي مصنوعي

Forecasting Oil Prices Through Use of Wavelet Transform and Artificial Neural Networks

In this paperʹ the wavelet transform and neural networks are used to produce more reliable forecasts of crude oil prices. In this combined model, we use the wavelet transform to minimize the noise present in the data and then apply artificial neural networks to the smoothed data to forecast oil prices. Comparing the RMSEs of alternative models with the combined model confirms that reducing the noise and smoothing the data produces more reliable predictions of crude oil prices.