1 code implementation • 25 Oct 2017 • M. Sherri, I. Boulkaibet, T. Marwala, M. I. Friswell
In this paper, a Differential Evaluation Markov Chain Monte Carlo (DE-MC) method is used to approximate the posterior function and update FEMs.
Computational Engineering, Finance, and Science Computation
no code implementations • 3 Jan 2017 • I. Boulkaibet, T. Marwala, M. I. Friswell, H. Haddad Khodaparast, S. Adhikari
This kind of aleatory uncertainty is irreducible, and may decrease the accuracy of the finite element model updating process.
no code implementations • 21 Mar 2014 • Collins Leke, Bhekisipho Twala, T. Marwala
The methods suggested use the optimization algorithms to minimize an error function derived from training the auto-associative neural network during which the interrelationships between the inputs and the outputs are obtained and stored in the weights connecting the different layers of the network.
no code implementations • 10 Aug 2013 • I. Boulkabeit, L. Mthembu, T. Marwala, F. De Lima Neto
A recent nature inspired optimization algorithm, Fish School Search (FSS) is applied to the finite element model (FEM) updating problem.