@inproceedings{bafd31096cb9458e93cba025a7e67ec0,
title = "Identification of Wiener model using radial basis functions neural networks",
abstract = "A new method is introduced for the identification of Wiener model. The Wiener model consists of a linear dynamic block followed by a static nonlinearity. The nonlinearity and the linear dynamic part in the model are identified by using radial basis functions neural network (RBFNN) and autoregressive moving average (ARMA) model, respectively. The new algorithm makes use of the well known mapping ability of RBFNN. The learning algorithm based on least mean squares (LMS) principle is derived for the training of the identification scheme. The proposed algorithm estimates the weights of the RBFNN and the coefficients of ARMA model simultaneously.",
author = "\{Saad Azhar\}, \{Ali Syed\} and Al-Duwaish, \{Hussain N.\}",
year = "2002",
doi = "10.1007/3-540-46084-5\_56",
language = "English",
isbn = "9783540440741",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "344--350",
editor = "Dorronsoro, \{Jose R.\} and Dorronsoro, \{Jose R.\}",
booktitle = "Artificial Neural Networks, ICANN 2002 - International Conference, Proceedings",
address = "Germany",
note = "2002 International Conference on Artificial Neural Networks, ICANN 2002 ; Conference date: 28-08-2002 Through 30-08-2002",
}