Abstract
This paper analyzes systematically common forecasting methods for transport volume of container in Xiangjiang catchment, and applies synthetically quantitative forecasting methods such as regression analysis, traffic method-sharing model, neural networks, etc. The results are proved reasonable after comparing with related data, and may serve as reference for throughout or transport volume pre-estimation of other river catchments. It also suggests that the marine conveyance container transport on Xiangjiang River take several measurements to improve the competitive power in many transport methods.
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References
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© 2009 Springer-Verlag Berlin Heidelberg
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Zhou, JL. (2009). Pre-estimate on Transport Volume of Container in Xiangjiang Catchment. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01513-7_96
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DOI: https://doi.org/10.1007/978-3-642-01513-7_96
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01512-0
Online ISBN: 978-3-642-01513-7
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