基于B-P神经网络的集装箱安全配箱量预测

A Forecast Method of safety Container Possession Based on Neural Networks

针对航运企业在经营中不可忽视的问题———集装箱安全配箱量 ,建立其B P神经网络模型 ,并针对实际问题多角度进行训练、学习和预测 ,取得了理想的预测结果。

By applying theory of neural networks a neural network model has been set up for safety container possession, a problem not to be ignored in maritime enterprises, and for practice its designing, training and forecasting from multi-angles are discussed in the paper, and effective forecasting results are obtained.