117 citations · 805 across the 109 of their papers we have counts for
13 papers · 1 filter
A Differential Evaluation Markov Chain Monte Carlo algorithm for Bayesian Model Updating
M. Sherri, I. Boulkaibet, T. Marwala +1
The use of the Bayesian tools in system identification and model updating paradigms has been increased in the last ten years. Usually, the Bayesian techniques can be implemented to…
Finite Element Model Updating Using Fish School Search Optimization Method
I. Boulkabeit, L. Mthembu, T. Marwala +1
A recent nature inspired optimization algorithm, Fish School Search (FSS) is applied to the finite element model (FEM) updating problem. This method is tested on a GARTEUR SM-AG19…
Sampling Techniques in Bayesian Finite Element Model Updating
I. Boulkaibet, T. Marwala, L. Mthembu +2
Recent papers in the field of Finite Element Model (FEM) updating have highlighted the benefits of Bayesian techniques. The Bayesian approaches are designed to deal with the uncert…
State of the Art Review for Applying Computational Intelligence and Machine Learning Techniques to Portfolio Optimisation
Evan Hurwitz, Tshilidzi Marwala
Computational techniques have shown much promise in the field of Finance, owing to their ability to extract sense out of dauntingly complex systems. This paper reviews the most pro…
Computational Intelligence for Condition Monitoring
Tshilidzi Marwala, Christina Busisiwe Vilakazi
Condition monitoring techniques are described in this chapter. Two aspects of condition monitoring process are considered: (1) feature extraction; and (2) condition classification.…
Dynamic Model Updating Using Particle Swarm Optimization Method
Tshilidzi Marwala
This paper proposes the use of particle swarm optimization method (PSO) for finite element (FE) model updating. The PSO method is compared to the existing methods that use simulate…