Integrated OBF-NN models for extrapolation enhancement in conventional neural networks for nonlinear systems

Integrated OBF-NN models for extrapolation enhancement in conventional neural networks for nonlinear systems

Abstract In this paper the integration of linear and nonlinear models in parallel for nonlinear system identification is investigated. A residuals-based sequential identification algorithm using parallel integration of linear Orthornormal basis filters (OBF) and a nonlinear feedforward (MLP) N...

Full description

Saved in:
Bibliographic Details
Main Authors: H., Zabiri, M., Ramasamy, Lemma D, Tufa, Maulud, Abdulhalim
Format: Conference or Workshop Item
Published: 2011
Subjects:
TP Chemical technology
Online Access:http://eprints.utp.edu.my/10748/1/HZabiri_aucc2011.pdf
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6114303&tag=1
http://eprints.utp.edu.my/10748/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Petronas
id my.utp.eprints.10748
record_format eprints
spelling my.utp.eprints.107482013-12-16T23:48:36Z Integrated OBF-NN models for extrapolation enhancement in conventional neural networks for nonlinear systems H., Zabiri M., Ramasamy Lemma D, Tufa Maulud, Abdulhalim TP Chemical technology Abstract In this paper the integration of linear and nonlinear models in parallel for nonlinear system identification is investigated. A residuals-based sequential identification algorithm using parallel integration of linear Orthornormal basis filters (OBF) and a nonlinear feedforward (MLP) NN model is used and applied to the nonlinear Van de Vusse reactor. Results show improved extrapolation capability of the proposed method in comparison to conventional MLP NN, and opens up a promising area for further research and analysis. 2011 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/10748/1/HZabiri_aucc2011.pdf http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6114303&tag=1 H., Zabiri and M., Ramasamy and Lemma D, Tufa and Maulud, Abdulhalim (2011) Integrated OBF-NN models for extrapolation enhancement in conventional neural networks for nonlinear systems. In: Australian Control Conference (AUCC), 2011 , 10-11 Nov. 2011 , Melbourne, Australia. http://eprints.utp.edu.my/10748/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TP Chemical technology
spellingShingle TP Chemical technology
H., Zabiri
M., Ramasamy
Lemma D, Tufa
Maulud, Abdulhalim
Integrated OBF-NN models for extrapolation enhancement in conventional neural networks for nonlinear systems
description Abstract In this paper the integration of linear and nonlinear models in parallel for nonlinear system identification is investigated. A residuals-based sequential identification algorithm using parallel integration of linear Orthornormal basis filters (OBF) and a nonlinear feedforward (MLP) NN model is used and applied to the nonlinear Van de Vusse reactor. Results show improved extrapolation capability of the proposed method in comparison to conventional MLP NN, and opens up a promising area for further research and analysis.
format Conference or Workshop Item
author H., Zabiri
M., Ramasamy
Lemma D, Tufa
Maulud, Abdulhalim
author_facet H., Zabiri
M., Ramasamy
Lemma D, Tufa
Maulud, Abdulhalim
author_sort H., Zabiri
title Integrated OBF-NN models for extrapolation enhancement in conventional neural networks for nonlinear systems
title_short Integrated OBF-NN models for extrapolation enhancement in conventional neural networks for nonlinear systems
title_full Integrated OBF-NN models for extrapolation enhancement in conventional neural networks for nonlinear systems
title_fullStr Integrated OBF-NN models for extrapolation enhancement in conventional neural networks for nonlinear systems
title_full_unstemmed Integrated OBF-NN models for extrapolation enhancement in conventional neural networks for nonlinear systems
title_sort integrated obf-nn models for extrapolation enhancement in conventional neural networks for nonlinear systems
publishDate 2011
url http://eprints.utp.edu.my/10748/1/HZabiri_aucc2011.pdf
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6114303&tag=1
http://eprints.utp.edu.my/10748/
_version_ 1738655892298006528

Similar Items