基于灰色神经网络一种预测模型的研究

Study on Prediction Model Based on the Grey Neural Network

应用灰色系统理论和BP神经网络(简称为GMBPNN)来创建农业机械化的预测模型以展开有关研究。通过举例来分析该方法,并利用GMBPNN获取有关结果,再与灰色预测模型和BP神经网络预测方法进行比较。仿真结果证明本文算法效率高,为改善预测准确性提供新途径。

This paper uses grey system theory and BP neural network （hereinafter refers as GMBPNN） to create a agricultural me- chanization pridiction model to make relevant research. It analyzes the method by setting examples, and utilize GMBPNN to obtain relevant results, while comparing it with the grey forecasting model and BP neural network prediction method. The simulation results show that the algorithm is efficient, and has provided a new way to improve the accuracy of prediction.