PREDICTION SYSTEM FOR PRICE OF RAW AND FRESH MILK BASED ON LARGE DATA

Abstract

Disclosed is a prediction system for a price of raw and fresh milk based on large data, including: collecting and preprocessing original market data to obtain market data; implementing an adaptive clustering algorithm on the market data; constructing a game theory model and introducing Nash equilibrium analysis of mixed strategies to calculate an optimal strategy combination of each market stage; predicting a price of raw and fresh milk using the optimal strategy combination; and modifying the game theory model, predicting the price of raw and fresh milk using the modified game theory model, and visually displaying a prediction result. In the present disclosure, the problems of a fixed algorithm structure mostly adopted in the existing clustering algorithms and lack of a dynamic adjustment mechanism are solved.

CPC Classifications