Forecasting the Price of Products Using Neural Networks

摘要

When developing new products,the justification of the price of future products is an important aspect of product competitiveness.Therefore,price assessment methods are paid great attention to.The article offers an information model for forecasting the price of pumping equipment using neural networks.The main technical characteristics of the pumping equipment used in the computational experiment were chosen.The developed and trained neural network showed a high level of correlation between predicted and real price values.Thus,price prediction using neural networks is a convenient tool in managing business processes.This is especially relevant at the stage of developing new products when comparing prices for similar products from different manufacturers.