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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-438894b9-4044-4d4f-b07b-5b4756ab1f6b

Czasopismo

Applied Computer Science

Tytuł artykułu

Person movement prediction using artificial neural networks with dynamic training on a fixed-size training data set

Autorzy Mikluščak, T.  Gregor, M. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
Abstrakty
EN Significant technical development over the last years has lately been showing more and more promise of making the vision of smart environments come true. The role of future smart environments lies in proactive interaction. Prediction of user’s actions plays a vital role in such interaction. This paper presents a method based on artificial neural networks designed to accommodate the problem of person movement prediction. The paper explores the importance of dynamic training in prediction of nonstationary time series. An approach to dynamic training, based on the so-called on-the-fly training, is presented.
Słowa kluczowe
EN person movement prediction   smart environments   artificial neural networks  
Wydawca Instytut Technologicznych Systemów Informacyjnych. Politechnika Lubelska
Czasopismo Applied Computer Science
Rocznik 2011
Tom Vol. 7, no 2
Strony 33--46
Opis fizyczny Bibliogr. 23 poz., fig., tab.
Twórcy
autor Mikluščak, T.
  • Department of Control and Information Systems, Faculty of Electrical Engineering, University of Ţilina, Univerzitná 1, 010 26 Ţilina, Slovak Republic, tomas.mikluscak@fel.uniza.sk
autor Gregor, M.
  • Department of Control and Information Systems, Faculty of Electrical Engineering, University of Ţilina, Univerzitná 1, 010 26 Ţilina, Slovak Republic, michal.gregor@fel.uniza.sk
Bibliografia
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