DocumentCode :
2322194
Title :
Neural approaches for modelling nonlinear systems
Author :
Turki, Amina ; Chtourou, Mohamed ; Djemel, Mohamed
Author_Institution :
Res. Unit of Intell. Control, Design & Optimization of complex Syst. (ICOS, Nat. Sch. of Eng. of Sfax, Sfax, Tunisia
fYear :
2010
fDate :
27-30 June 2010
Firstpage :
1
Lastpage :
6
Abstract :
This paper deals with the problem of neural modeling of nonlinear systems. In a first place, we will discuss the neural modeling process. The approach adopted of neural modeling will be presented in a second place; this method is based on mono-network neural modeling and multi-network neural modeling. The results of simulation obtained will be illustrated by a nonlinear system of second order and by a chemical process.
Keywords :
neural nets; nonlinear systems; mono-network neural modeling; multinetwork neural modeling; neural modeling process; nonlinear systems; US Department of Energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Signals and Devices (SSD), 2010 7th International Multi-Conference on
Conference_Location :
Amman
Print_ISBN :
978-1-4244-7532-2
Type :
conf
DOI :
10.1109/SSD.2010.5585550
Filename :
5585550
Link To Document :
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