Published Article / An artificial neural network (ANN) that is able to distinguish between Cheddar cheese produced with milk from mixed and single breed sources was designed. Samples of each batch (4 pure Ayrshire/4 mixed with no Ayrshire milk) were ripened for 92 days and analysed every 14 days. A novel ANN was designed and applied which, based only on Lactococcus lactis counts, provided an acceptable classification of the cheeses. The ANN consisted of a multi-layered network with supervised training arranged in an ordered hierarchy of layers, in which connections were allowed only between nodes in immediately adjacent layers.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:cut/oai:ir.cut.ac.za:11462/632 |
| Date | January 2013 |
| Creators | Venter, P., Venter, T., Luwes, N., De Smidt, O., Lues, J.F.R. |
| Contributors | Central University of Technology, Free State, Bloemfontein |
| Publisher | Journal for New Generation Sciences, Vol 11, Issue 1: Central University of Technology, Free State, Bloemfontein |
| Source Sets | South African National ETD Portal |
| Language | en_US |
| Detected Language | English |
| Type | Article |
| Format | 189 859 bytes, 1 file, Application/PDF |
| Rights | Central University of Technology, Free State, Bloemfontein |
| Relation | Journal for New Generation Sciences;Vol 11, Issue 1 |
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