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运用BP神经网络,将收集到的福建省1998年至2008年近十年港城互动经济数据,构造出相应的BP神经网络模型并进行网络训练,得出适合运用于福建港口经济的预测的仿真模型。
Using BP neural network, this paper collected the interactive economic data of Hong Kong City from 1998 to 2008 in Fujian Province, and built the corresponding BP neural network model and network training to get the simulation which is suitable for the prediction of Fujian port economy model.