Статья

Parametrization of bass diffusion model on COVID-19 first wave data

A. Škraba, B. Vavtar, V. Stanovov, E. Semenkin, R. Stojanović,
2021

The paper addresses the development of the system for the parameterization of the Bass Diffusion Model on Covid-19 Data. Continuous model developed by the principle of system dynamics is presented. The parameters of the model are tuned to fit the data with genetic algorithm in Powersim simulation tool. The validation is performed by standard simulation validation techniques. The input data used in the experiments were gathered by publically available databases. In particular, the data collected in Austria, France, Italy, South Korea, Slovenia and Swiss were considered in this study. The results have shown that the simple model with is capable of predicting the growth with S-shaped curve with high accuracy. © Published under licence by IOP Publishing Ltd.

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  • 1. Version of Record от 2021-04-27

Метаданные

Об авторах
  • A. Škraba
    University of Maribor, Cybernetics and Decision Support Systems Laboratory, Faculty of Organizational Sciences, Kidričeva cesta 55a, Kranj, 4000, Slovenia
  • B. Vavtar
    Reshetnev Siberian State University of Science and Technology, Institute of Computer Science and Telecommunications, 31 Krasnoyarskiy Rabochiy Ave., Krasnoyarsk, 660037, Russian Federation
  • V. Stanovov
    University of Montenegro, Faculty of Electrical Engineering Džordža, Vašingtona bb., Podgorica, Montenegro
  • E. Semenkin
  • R. Stojanović
Название журнала
  • IOP Conference Series: Materials Science and Engineering
Том
  • 1047
Выпуск
  • 1
Страницы
  • -
Издатель
  • IOP Publishing Ltd
Тип документа
  • Conference Paper
Тип лицензии Creative Commons
  • CC
Правовой статус документа
  • Свободная лицензия
Источник
  • scopus