Prediction of Logistics Amount Based on Neural Networks

The logistics amount can be predicted in ANN (artificial neural networks) model. The influencing factors of the logistics amount and the basic thought of ANN prediction were analyzed. There are weakness existing in feed forward network and simple dynamic network prediction model. The methods together with dynamic feedback and causality was put forward and real time recurrent learning was used in order to make up the lack of the traditional method in the regional logistics system. The theory can be tested in the simulation example. The result get through the method is most close to the real situation and has high reliability.