S. M. R. Loghmanian

FAULT DIAGNOSIS BASED ON THE NARX MODEL IN THE FREQUENCY DOMAIN FOR ROTARY MACHINE

M. Khalid, R. Yusof, S. M. R. Loghmanian, 2011 .

Multiobjective Evolutionary Algorithm Approach in Modeling Discrete-Time Multivariable Dynamics Systems

R. Ahmad, M. Z. Zakaria, H. Jamaluddin, 2010, 2010 Second International Conference on Computational Intelligence, Modelling and Simulation.

Application of Different Hill’s Yield Criteria to Predict Limit Strains for Aerospace Titanium and Aluminum Sheet Alloys

Faramarz Djavanroodi, S. M. R. Loghmanian, Milad Janbakhsh, 2014 .

Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems

Sayed Mohammad Reza Loghmanian, Hishamuddin Jamaluddin, Robiah Ahmad, 2012, J. Syst. Control. Eng..

Structure optimization of neural network for dynamic system modeling using multi-objective genetic algorithm

M. Khalid, R. Ahmad, R. Yusof, 2012, Neural Computing and Applications.

Nonlinear dynamic system identification using Volterra series: Multi-objective optimization approach

Marzuki Khalid, Rubiyah Yusof, Sayed Mohammad Reza Loghmanian, 2011, 2011 Fourth International Conference on Modeling, Simulation and Applied Optimization.

Structure optimization of neural network for dynamic system modeling using multi-objective genetic algorithm

Marzuki Khalid, Rubiyah Yusof, Sayed Mohammad Reza Loghmanian, 2011, Neural Computing and Applications.

Multi-Objective Optimization of NARX Model for System Identification Using Genetic Algorithm

Sayed Mohammad Reza Loghmanian, Hishamuddin Jamaluddin, Robiah Ahmad, 2009, 2009 First International Conference on Computational Intelligence, Communication Systems and Networks.

Nonlinear dynamic system identification using Volterra series: Multi-objective optimization approach

M. Khalid, R. Yusof, S. M. R. Loghmanian, 2011, 2011 Fourth International Conference on Modeling, Simulation and Applied Optimization.