港口货物吞吐量

基于BP神经网络的港口货物吞吐量预测

Port Cargo Throughput Forecast Based on BP Neural Network

并将此方法应用于港口货物吞吐量及出口量预报。

This method is applied to harbour transport .

在得出港口货物吞吐量概率分布的基础上，利用条件数学期望提出了港口货物吞吐量的双层预测模型。

A double forecasting model is proposed by using conditional mathematical expectation , based on probability distribution of port cargo throughput .

研究发现，组合预测模型相比单个预测方法具有较高的精度，能够较准确地预测上海内河港口货物吞吐量。

It is found out through research that the result by combined forecasting model is more precise than by one single forecasting model .

水运经济指标继续刷新，水路货运量、货物周转量、港口货物吞吐量等保持快速增长。

Waterborne economic norms continues refresh , port 's cargo throughput of volume of canalage goods volume , goods , haven maintain rapid growth .

灰色模型因其需要的原始数据较少、精度较高等优点，能满足一般港口货物吞吐量预测的要求。

Grey model can satisfy the requirement of usual cargo volume forecast due to the advantages that grey model needs less original data and is of higher accuracy .

同时对广州港2010年～2015年的港口货物吞吐量进行了预测，为广州港发展与规划提供科学的参考数据。

Meanwhile , the port cargo throughput of Guangzhou port from 2010 to 2015 is forecasted , and it will provide scientific reference data for Guangzhou port development and planning .

随着港口货物吞吐量的增加，起重机械越来越向大型化和高速化发展，对起重机械行进时水平方向抗冲击性也提出了更高要求。

With the increasing cargo throughput of the port , the size and the weight of cranes gets larger and more speeder , which require higher quality of impact resistance .

上海的工业总产值占全国1/12，港口货物吞吐量占全国1/10，口岸进出口商品额占全国1/4，财政收入占全国1/8。

Shanghai is responsible for one twelfth of China 's industrial output , one tenth of cargo handling , a quarter of imports and exports , and one eighth of the tax revenue .

航运事业发展迅速，到2004年底，我国沿海和内河港口货物吞吐量、集装箱吞吐量已经提前6年实现翻一番的目标，中国海事工作也取得了令人瞩目的成就。

By the end of 2004 , the freight and container volume has gained the aim of increasing twice , which is earlier by six years than scheduled plan and Chinese Maritime has got attracting achievement .

考虑到港口货物吞吐量是港口发展战略研究的重要内容，并且事关港口经济腹地的国民经济的发展和我国在国际经济中的竞争力，所以意义特别重大。

It is significant , considering that the port 's handling capacity of goods is important for the research of its developing strategy and national economy 's development in the economic hinterland and the country 's competitive power in the international economy .

针对单一预测模型泛化能力不高的问题，研究集成预测方法体系和框架，对港口货物吞吐量进行预测分析，取得了良好的预测效果。

For the generalization ability of a single prediction model is not high , this paper studies on the integration prediction method system and framework and uses this method to predict monthly throughput of the port cargoes and has got a good result .

论文先用回归分析法和三次指数平滑法进行预测，考虑到两者预测结果的差别，本文最终采用组合预测技术对2001～2010年镇江港口的货物吞吐量作出了预测。

First the article takes regression analytical method to forecast and at last combinatorial technology to forecast the port 's handling capacity from 2001 to 2010 , considering the differences got by the two methods .

随着我国港口的货物吞吐量纷纷跃居世界前列，以及上海建设国际航运中心的战略举措，港口日益被人们所关注。

As the cargo throughput of the ports in China have leapt to the world , as well as the construction of Shanghai international shipping center continuously developes , the port is increasingly concerned by the people .

本文就是在对国内外内河集装箱运输发展现状进行了解的基础上，对我国内河集装箱运输发展状况以及内河港口集装箱货物吞吐量的发展进行了一些研究。

This text have studied on domestic river containerized transport state of developments and inland river container of port goods the developments of handling capacity . That is on the basis of analysing that develops the current situation in domestic and international containerized transport .

随着社会经济的发展，港口码头的货物吞吐量越来越大，门座式起重机作为港口码头重要的装卸机械发挥着重要的作用。

With the development of social economy , the cargo throughput of port terminals is increasing . As a vital handing machinery of port terminals , portal jib crane plays an important role .

河北省港口群在近些年实现了快速发展，港口基础设施逐步完善，港口货物吞吐量快速增长。

In recent years , civil airports of Hebei province have kept fast development , the infrastructure of civil aviation improved gradually , port throughput grow fast .