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- W2348301052 abstract "Development and change in world seaborne trade turnover volume has extremely important influence on shipping market and ship market.It also plays key role in the analysis of development trend of these two markets.However,the change of world seaborne trade turnover volume is affected by a series of extremely complex factors and forecast of its change is greatly difficult with common methods.Based on individual and traditional forecasting method,time series,gray system method and neural network algorithm are applied to predict the world seaborne trade turnover volume respectively,and then the three methods are combined and applied to the prediction.The result shows that combination method could achieve more accurate forecast effect." @default.
- W2348301052 created "2016-06-24" @default.
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- W2348301052 date "2012-01-01" @default.
- W2348301052 modified "2023-09-23" @default.
- W2348301052 title "Forecasts of Seaborne Trade Turnover Volume Based on Combination Forecast Methods" @default.
- W2348301052 hasPublicationYear "2012" @default.
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