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使用基于时间序列的BP神经网络模型对防城港货物吞吐量进行预测,详细介绍了BP神经网络建模原理和预测实施方法,对预测结果进行了分析。提出了使用基于时间序列的BP神经网络模型时的注意事项。
The time series based BP neural network model was used to predict the cargo throughput of Fangchenggang Port. The BP neural network modeling principle and forecasting method were introduced in detail. The forecast results were analyzed. The precautions when using BP neural network model based on time series are proposed.