Recurrent Neural Networks for Time Series Forecasting. Choosing the best Architecture for Passenger Traffic Data

Autor: Leonid Sibruk, Ihor Zakutynskyi

Publikováno v: Electronics and Control Systems; Vol. 2 No. 72 (2022); 38-44
Электроника и системы управления; Том 2 № 72 (2022); 38-44
Електроніка та системи управління; Том 2 № 72 (2022); 38-44

Accurately predicting the urban traffic passenger flow is of great importance for transportation resource scheduling, planning, public safety, and risk assessment. Traditional statistical approaches for forecasting time series are not effective in pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::201326aa1af96b4f63b4c597b17ea510
https://jrnl.nau.edu.ua/index.php/ESU/article/view/16941