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BP-neural networks预测法在湛江港港口吞吐量预测中的应用
引用本文:李萌,陈绍永.BP-neural networks预测法在湛江港港口吞吐量预测中的应用[J].广东造船,2010(4).
作者姓名:李萌  陈绍永
作者单位:广东海事局;
摘    要:本文对港口吞吐量预测的方法进行了研究,分析了传统预测方法在实际应用中存在的问题,利用黑箱模型理论对湛江港近年吞吐量与建设投资额进行定性研究和定量检验,证明了港口吞吐量与建设投资额之间存在显著的正相关关系,并基于此提出基于BP-neural networks的预测方法,为湛江港港口吞吐量的预测提供了一种新的方法与途径。

关 键 词:港口发展  港口吞吐量  预测技术  BP神经网络  

Analysis on the Application of BP-neural networks in Prediction of Port Capacity at Zhanjiang Port
LI Meng,CHEN Shaoyong.Analysis on the Application of BP-neural networks in Prediction of Port Capacity at Zhanjiang Port[J].Guangdong shipbuilding,2010(4).
Authors:LI Meng  CHEN Shaoyong
Institution:LI Meng,CHEN Shaoyong(Guangdong Maritime Safety Administration,Guanghou 510230)
Abstract:In this article we make a research for the prediction method of port capacity and analyze the existed problem of the traditional forecasting methods in practical application.We have proved that the port capacity and the volume of construction investment have an obvious positive correlativity through applying the theory of black-box model to qualitatively research and quantitatively test for the port capacity and construction investment of Zhanjiang Port in recent years.Based on the consequence we proposes t...
Keywords:Port development  Port capacity  Prediction technique  BP-neural networks  
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