PROBABILISTIC NEURAL NETWORKS IN THE PROBLEMS OF TIME SERIES IDENTIFICATION

Автор(и)

  • Roman Kvetniy Vinnytsia National Technical University
  • Vladyslav Kabatciy Vinnytsia National Technical University
  • Olga Chumachenko Vinnytsia National Technical University

Ключові слова:

probabilistic neural networks (PNN), identification, patterns identification, analysis of time series

Анотація

The given paper considers the possibility of time series identification on the basis of probabilistic neural networks and their modified versions. The influence of kernel function width on adequate restoration of density and classification quality is investigated. Modified versions of probabilistic neural networks and peculiarities of their application are considered. Advantages and disadvantages of probabilistic neural networks are shown.

Біографії авторів

Roman Kvetniy, Vinnytsia National Technical University

Head of the Department of Automation and Information – Computing Engineering

Vladyslav Kabatciy, Vinnytsia National Technical University

Assistant Professor, Department of Automation and Information – Computing Engineering

Olga Chumachenko, Vinnytsia National Technical University

Student of the Institute of Post- Graduate studies

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Переглядів анотації: 193

Опубліковано

2015-11-30

Як цитувати

[1]
R. Kvetniy, V. Kabatciy, і O. Chumachenko, «PROBABILISTIC NEURAL NETWORKS IN THE PROBLEMS OF TIME SERIES IDENTIFICATION», Scientific Works of Vinnytsia National Technical University, вип. 3, Лис 2015.

Номер

№ 3 (2010): 2010№3

Розділ

Information Technologies and Computer Engineering

Метрики

Завантаження

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