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CIRG - Research  -  Neural Networks 



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OVERVIEW

The focus of the neural networks group is to investigate aspects of training and optimization of neural networks, and to apply neural networks to solve real-world problems. The activities of this focus area are mainly centered around architecture selection, active learning, and the development of new an efficient training algorithms. Some work is done on self-organizing maps.

Current applications are directed towards data mining, spam detection, user authentication, fraud detection, gesture recognition, and trading on financial markets. Applications of self-organization maps to exploratory data analysis, data mining, and species identification are done.

ACTIVE MEMBERS

N Asaberere

PhD Started in 2011

A Wilford

M.Sc Started in 2010

A van Wyk

M.Sc Started in 2009
Hons-B.Sc Completed in 2008

T Museba

PhD Started in 2008

M van der Merwe

M.Sc Started in 2007

A Rakitianskaia

M.Sc Started in 2007

C Naicker

PhD Started in 2007
M.Sc Completed in 2006
Hons-B.Sc Completed in 2002

W van Heerden

M.Sc Started in 2002

ALUMNI MEMBERS

List alumni of this research focus area. [ Show ]

GROUP PUBLICATIONS

List publications of this research focus area. [ Show ]

MEMBER PROFILE



 Name:

 Anna Rakitianskaia

Portrait photo

 E-mail:

 engel@cs.up.ac.za

 Group(s):

 Neural Networks
Swarm Intelligence

 

 Degree specific information: M.Sc

 Title:

 Training Neural Netorks that Experience Concept Drift

 Abstract:

Not Available

 Supervisor / Co-Supervisor:

 AP Engelbrecht

 Thesis:

 Not available for download yet.




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