Browsing Research and Innovation Unit by Subject "Neural networks"

Now showing items 1-3 of 3

A comparative study of methods for defect detection in textile fabrics

Nsengiyumva, P.; Vermaak, H.; Luwes, N. (Central University of Technology, Free State, Bloemfontein: Journal for New Generation Sciences, 2015)

Fabric defect detection methods have been broadly classified into three categories; statistical methods, spectral methods and model-based methods. The performance of each method relies on the discriminative ability of ...
Fibonacci numbers and the golden rule applied in neural networks

Luwes, N.J. (Interim : Interdisciplinary Journal: Vol 9, Issue 1: Central University of Technology Free State Bloemfontein, 2010)

In the 13th century an Italian mathematician Fibonacci, also known as Leonardo da Pisa, identified a sequence of numbers that seemed to be repeating and be residing in nature (http://en.wikipedia.org/wiki/Fibonacci) (Kalman, ...
A pilot study to integrate HIV drug resistance gold standard interpretation algorithms using neural networks

Singh, Y.; Mars, M. (Journal for New Generation Sciences, Vol 11, Issue 2: Central University of Technology, Free State, Bloemfontein, 2013)

There are several HIV drug resistant interpretation algorithms which produce different resistance measures even if applied to the same resistance profile. This discrepancy leads to confusion in the mind of the physician ...

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