Nonlinear system identification using integrated linear-NN models: series vs. parallel structures

• 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/10747/1/7-ICMSC2011S021.pdf; http://www.ipcsit.com/vol10/7-ICMSC2011S021.pdf; http://eprints.utp.edu.my/10747/
• Institution: Universiti Teknologi Petronas

In this paper, the performance of integrated linear-NN models is investigated for nonlinear system identification using two different structures: series vs. parallel. In particular, Laguerre filters are selected as the linear models, and multi-layer perceptron (MLP) or feed-forward neural networks...