摘要
本文在对浙江省公路运输量时序分析的基础上利用BP神经网络进行预测 ,得到了精确度很高的预测结果 ,改变了过去一直使用灰色预测、回归预测、指数平滑法等方法的局面 ,为浙江省公路运输量的预测提供了新方法。
By analyzing the highway transportation volume of ZheJiang province with time_series method, and predicting it with BP neural network, the paper offers a new excellent way to predict the volume with a high precision result. The application of BP neural network changes the situation that the prediction was done with grey prediction, regression analysis, and exponential smoothing. The application of BP neural network can serve as the newest method for predicting the highway transportation volume of ZheJiang province.
出处
《浙江交通职业技术学院学报》
CAS
2003年第3期1-4,共4页
Journal of Zhejiang Institute of Communications
