Zobrazeno 1 - 10
of 650
pro vyhledávání: '"Marwala T"'
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 incorporate the uncertainties associated with measurements as well as
Externí odkaz:
http://arxiv.org/abs/1710.09486
In this paper, a non-probabilistic method based on fuzzy logic is used to update finite element models (FEMs). Model updating techniques use the measured data to improve the accuracy of numerical models of structures. However, the measured data are c
Externí odkaz:
http://arxiv.org/abs/1701.00833
This paper presents methods which are aimed at finding approximations to missing data in a dataset by using optimization algorithms to optimize the network parameters after which prediction and classification tasks can be performed. The optimization
Externí odkaz:
http://arxiv.org/abs/1403.5488
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 aeroplane structure. The results of this algorithm are compared with t
Externí odkaz:
http://arxiv.org/abs/1308.2307
Autor:
Hurwitz, E., Marwala, T.
For a number of reasons, computational intelligence and machine learning methods have been largely dismissed by the professional community. The reasons for this are numerous and varied, but inevitably amongst the reasons given is that the systems des
Externí odkaz:
http://arxiv.org/abs/1208.4429
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 uncertainties associated with complex systems, which is the main problem in
Externí odkaz:
http://arxiv.org/abs/1110.3382
A brain-computer interface (BCI) may be used to control a prosthetic or orthotic hand using neural activity from the brain. The core of this sensorimotor BCI lies in the interpretation of the neural information extracted from electroencephalogram (EE
Externí odkaz:
http://arxiv.org/abs/1108.5250
Autor:
Mpanza, LJ, Marwala, T.
Most transformer failures are attributed to bushings failures. Hence it is necessary to monitor the condition of bushings. In this paper three methods are developed to monitor the condition of oil filled bushing. Multi-layer perceptron (MLP), Radial
Externí odkaz:
http://arxiv.org/abs/1108.4618
Autor:
Mpanza, J. L., Marwala, T.
Most transformer failures are attributed to bushings failures. Hence it is necessary to monitor the condition of bushings. In this paper three methods are developed to monitor the condition of oil filled bushing. Multi-layer perceptron (MLP), Radial
Externí odkaz:
http://arxiv.org/abs/1108.4548
Autor:
Moon, D., Marwala, T.
Autoencoder neural network is implemented to estimate the missing data. Genetic algorithm is implemented for network optimization and estimating the missing data. Missing data is treated as Missing At Random mechanism by implementing maximum likeliho
Externí odkaz:
http://arxiv.org/abs/0812.1615