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This article processes some related statistical data of the three major port cities in China, and analysis of the regional characteristics of the port cities, introduce and compare the commonly used prediction model for container port throughput, through concrete examples to verify the prediction precisions of regression analysis model and neural network model, combined with the regional characteristics...
Based on the idea of nonlinear prediction of phase space reconstruction, this paper presented a time delay BP neural network model, whose generalization capability was improved by Bayesian regularization. Furthermore, the model is applied to forecast the imp&exp trades in one industry. The results showed that the improved model has excellent generalization capabilities, which not only learned...
This paper proposes an integrated forecasting framework based on the TEI@I methodology for port logistics forecasting. The framework analyzes and forecasts the port logistics time series data with a few steps. Firstly, census X12 seasonal adjustment method is applied to decompose the time series to several components: trend and cycle component, irregular component and seasonal component. Secondly,...
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