| 基于BP神经网络的船舶交通流量预测研究 |
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| 引用本文： | 田燕华,陈锦标.基于BP神经网络的船舶交通流量预测研究[J].船海工程,2010,39(1). |
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| 作者姓名： | 田燕华 陈锦标 |
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| 作者单位： | 上海海事大学,商船学院,上海,200135 |
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| 基金项目： | 上海市重点学科建设项目 |
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| 摘 要： | 在分析船舶交通流量特性的基础上,以船舶交通流量控制为最终目标,建立基于BP神经网络的船舶交通流量预测模型,以长江口深水航道的交通流量数据作为训练样本,进行模拟分析。预测结果与实测加权数据进行对比表明,该模型对船舶交通量的预测是有效的。
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| 关 键 词： | 水路运输 BP神经网络 船舶交通流量 预测 |
Vessel Traffic Flow Prediction Based on BP Neural Network |
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| Authors: | TIAN Yan-hua CHEN Jin-biao |
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| Institution: | TIAN Yan-hua,CHEN Jin-biao(College of Merchant Ship,Shanghai Maritime University,Shanghai 200135,China) |
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| Abstract: | Based on the study of the characteristics of vessel traffic flow,taking the vessel traffic flow control as the ultimate goal,the vessel traffic flow prediction model based on the BP(Back Propagation) neural network was setup.Taking the Yangtze estuary deepwater channel's traffic flow data as training samples,the simulation analysis was carried out.Comparing with the forecasting data and the measured data weighted,it showed that the model is valid for the prediction of vessel traffic flow. |
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| Keywords: | waterway transportation back propagation neural network vessel traffic flow forecast |
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