基于多相关因素的汽车保有量预测神经网络方法

Multi-relative Factor Forecast of Vehicle Population by Neural Network

将神经网络技术用于汽车保有量预测 ,建立基于双BP神经网络的多相关因素汽车保有量预测模型。以呼和浩特市汽车保有量预测为例 ,详细介绍汽车保有量神经网络预测模型的操作过程 ,并证实了该方法的可行性和可靠性。

In the paper, the technique of neural network is applied in forecasting affected by multi - relative factors, and a two-BP neural network model is established. Through an example, the operating processes are introduced in detail. The experimental result shows that the presented model is reasonable and the given method is feasible and reliable.