Study on Prediction of Grain Yield Based on Grey Theory and Fuzzy Neutral Network Model

Abstract

In order to improve the prediction precision of grain yield, the grey system theory and the fuzzy neutral network are combined to construct the combined prediction model, which is applied in predicting the grain yield. Firstly, the basic theory of the grey system theory is analyzed. Secondly, the mathematical model of fuzzy neutral network is studied, and the corresponding algorithm procedure is designed. Finally, the grain yields in China are used as the researching object, and the corresponding prediction analysis is carried out, and the prediction results of grain yield are agreed with real values, results show that the combined prediction model can be applied in predicting the grain yield effectively.

Keywords

• Prediction precision
• Grey system theory
• Fuzzy neutral network
• Grain yield