Computer System of Agricultural Economic Early Warning based on Bayesian Network Model

Abstract

On the basis of statistical learning theory and Bayesian network method, this paper combines Bayesian network algorithm with agricultural macroeconomic early warning research. In this way, an early warning model of agricultural economy based on Bayesian network is established. In this paper, the classification hyperplane and forecast warning range of economic early warning are obtained by compiling MATLAB software program and combining with the economic data of a large agricultural province. At the same time, we perform interpolation and extrapolation tests. The results show that the prediction reliability and fitting of the early warning model is effective and feasible with high accuracy.