P. V. Tikhomirov, V. Sivakov, V. Kamynin, S. S. Sinitsyn
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APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN TRANSPORT FORECASTING TASKS
The paper considers scientific, methodological and organizational issues of forecasting urban lo-gistics systems of passenger transportation based on artificial neural networks. It presents the re-sults of theoretical and experimental studies of passenger traffic on the municipal routes in the city using artificial neural networks to solve problems in the forecasting of transport processes.
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