Abstract
Approaches to development classification mechanisms in condition of projects of marine container transportations by means of artificial neural networks are investigated. It is established that growth rates of transportation volumes not linearly depend on a ratio of volumes of import and export cargoes with obviously expressed maximum. Its offered mechanism of efficiency increase of the companies by a choice of a rational ratio volumes of import and export cargoes on the basis of a neural network assessment of the previous activity results of the company and its competitors which, unlike known mechanisms, provides possibility of an effective assessment of the situation which developed in the market of freight transportation.
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Gaida, A.J., Zarichuk, E.A., Koshkin, K.V. (2018). Mechanisms to Enhance the Efficiency of Maritime Container Traffic Through “Odessa” and “Chernomorsk” Ports in the Balancing of Portfolios. In: Shakhovska, N., Stepashko, V. (eds) Advances in Intelligent Systems and Computing II. CSIT 2017. Advances in Intelligent Systems and Computing, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-319-70581-1_9
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DOI: https://doi.org/10.1007/978-3-319-70581-1_9
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