117 citations · 805 across the 109 of their papers we have counts for
7 papers · 1 filter
Proposition of a Theoretical Model for Missing Data Imputation using Deep Learning and Evolutionary Algorithms
Collins Leke, Tshilidzi Marwala, Satyakama Paul
In the last couple of decades, there has been major advancements in the domain of missing data imputation. The techniques in the domain include amongst others: Expectation Maximiza…
Missing Data Prediction and Classification: The Use of Auto-Associative Neural Networks and Optimization Algorithms
Collins Leke, Bhekisipho Twala, T. Marwala
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 p…
Artificial Neural Network and Rough Set for HV Bushings Condition Monitoring
LJ Mpanza, T. Marwala
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…
Ant Colony Optimization of Rough Set for HV Bushings Fault Detection
J. L. Mpanza, T. Marwala
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 Monitoring of HV Bushings in the Presence of Missing Data Using Evolutionary Computing
Sizwe M. Dhlamini*, Fulufhelo V. Nelwamondo**, Tshilidzi Marwala**
The work proposes the application of neural networks with particle swarm optimisation (PSO) and genetic algorithms (GA) to compensate for missing data in classifying high voltage b…
Using Genetic Algorithms to Optimise Rough Set Partition Sizes for HIV Data Analysis
Bodie Crossingham, Tshilidzi Marwala
In this paper, we present a method to optimise rough set partition sizes, to which rule extraction is performed on HIV data. The genetic algorithm optimisation technique is used to…