Effective model of the market prices forecasting using neural networks

The article highlights the relevance of prices forecasting, as well as the effectiveness of the proposed method “Identification model of high quality”, both at the stage of construction and for the final comparison. This study shows that the proposed method allows to effectively determine the most qualitative model. Also, in the article it is revealed that the model based on neural networks, with the adaptive inclusion of data in the training sample, allows predicting prices in the market more accurately.