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- W2359547661 abstract "Aiming at the characteristics of regional freight turnover such as big fluctuation of time,consanguineous relativity among regions,and pointed out the high nonlinearity,coupling and time change character of indexes data which reflect regional freight turnover.Through analyzing history regional road freight turnover data,we confirmed the interrelated forecast variable and established regional road freight turnover forecast model based on support vector regression.Because this model is based on statistical learning theory,it has favorable nonlinear data processing ability,and generalization ability of forecast model also can be ensured.At last,take Jinhua city as an application object to explain validity of the model." @default.
- W2359547661 created "2016-06-24" @default.
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- W2359547661 date "2011-01-01" @default.
- W2359547661 modified "2023-09-25" @default.
- W2359547661 title "Regional Road Freight Turnover Forecast Based on Support Vector Regression Model" @default.
- W2359547661 hasPublicationYear "2011" @default.
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