MLP and Elman recurrent neural network modelling for the TRMS
This paper presents a scrutinized investigation on system identification using artificial neural network (ANNs). The main goal for this work is to emphasis the potential benefits of this architecture for real system identification. Among the most prevalent networks are multi-layered perceptron NNs...
Main Authors: | Toha, Siti Fauziah, Tokhi, M. Osman |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2008
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/7128/ http://irep.iium.edu.my/7128/ http://irep.iium.edu.my/7128/ http://irep.iium.edu.my/7128/1/Siti_CIS_NN_2008.pdf |
Similar Items
-
Real-coded genetic algorithm for parametric modelling of a TRMS
by: Toha, Siti Fauziah, et al.
Published: (2009) -
Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation
by: Toha, Siti Fauziah, et al.
Published: (2009) -
Multi-objective PSO based augmented control of a twin rotor system
by: Toha, Siti Fauziah, et al.
Published: (2011) -
Prototype modeling of security system with metal detector
by: Md. Yusof, Hazlina, et al.
Published: (2007) -
Computer aided medical diagnosis for the identification of Malaria parasites
by: Toha, Siti Fauziah, et al.
Published: (2007)