Prediction model of agricultural mechanization based on Grey Neural Network

摘要

A prediction model of agricultural mechanization is studied by means of applying Grey System theory and BP Neural Network (GMBPNN). The method is illustrated by example, and the results obtained by using the GMBPNN method are compared with that from GM (1, 1) and BP neural network prediction methods. The simulation results demonstrate the efficiency of our proposed algorithms, which offers a new way to improve the forecasting accuracy.