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On the Real Time Logistics Monitoring System Development Using Artificial Neural Network

Dmitriy Petrovskiy, Aleksandr Barashkov, Vladislav Sobolevsky, Boris Sokolov, Vjacheslav Pjatkov. On the Real Time Logistics Monitoring System Development Using Artificial Neural Network // Proceedings of the 20th International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation (HMS2018), September 17-19 2018, Budapest, Hungary. P.14-20.

Dmitriy Petrovskiy, Aleksandr Barashkov, Vladislav Sobolevsky, Boris Sokolov, Vjacheslav Pjatkov. On the Real Time Logistics Monitoring System Development Using Artificial Neural Network // Proceedings of the 20th International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation (HMS2018), September 17-19 2018, Budapest, Hungary. P.14-20.


Abstract

In this article, we consider the creation of a monitoring system for observing the parameters of logistics systems in real time in the conditions of data deficit. Our approach to the creation of such a monitoring system is based on the use of artificial neural networks for the classification of information entering the system. As well, the apparatus of colour stochastic Petri nets were used for data generation that is necessary for training the neural network.