Молимо вас користите овај идентификатор за цитирање или овај линк до ове ставке: https://scidar.kg.ac.rs/handle/123456789/9852
Назив: Modelling of dam behaviour based on neuro-fuzzy identification
Аутори: Rankovic, Vesna
Grujovic, Nenad
Divac, dejan
Milivojevic, Nikola
Novaković, Aleksandar
Датум издавања: 2012
Сажетак: The radial displacement of one or several points of the dam is an important time-varying behaviour indicator and it is a nonlinear function of hydrostatic pressure, temperature and other unexpected unknown causes. Nonlinear system identification is becoming an important tool which can be used to time-varying behaviour modelling of engineering structures. Identification and prediction of complex nonlinear structural behaviour are complex tasks for which non-parametric models are often used. The objective of this study is to develop a neuro-fuzzy identification model to predict the radial displacement of the arch dam. The ANFIS (adaptive network-based fuzzy inference system) models were developed and tested using experimental data collected during 11. years. Comparing the values predicted by the ANFIS with the experimental data indicates that soft computing models provide accurate results. These models can be applied for prediction of displacement in further studies. © 2011 Elsevier Ltd.
URI: https://scidar.kg.ac.rs/handle/123456789/9852
Тип: article
DOI: 10.1016/j.engstruct.2011.11.011
ISSN: 0141-0296
SCOPUS: 2-s2.0-84855453194
Налази се у колекцијама:Faculty of Engineering, Kragujevac

Број прегледа

499

Број преузимања

17

Датотеке у овој ставци:
Датотека Опис ВеличинаФормат 
PaperMissing.pdf
  Ограничен приступ
29.86 kBAdobe PDFСличица
Погледајте


Ставке на SCIDAR-у су заштићене ауторским правима, са свим правима задржаним, осим ако није другачије назначено.