Predicting dynamics of the consumer commodity market based on fuzzy neural network

Abstract

An important place in the diagnosis of the consumer goods market is occupied by the issues of analyzing methods for forecasting retail turnover. When forecasting retail turnover in the consumer market, an extrapolation method is partially applied. Since trade is a stable development system, their performance is relatively stable. In our work, based on the indicators obtained by extrapolating the turnover of various components of the consumer goods market, we derived a unified indicator-the ratio of commercial activity of the retail product market.