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Warwick, K. (1992) Neural network based control in food processing. In: IEE Colloquium on Automation and Control in Food Processing, 3 April 1992, London, UK, 4/1-4/5.
Abstract/Summary
A number of commonly encountered simple neural network types are discussed, with particular attention being paid to their applicability in automation and control when applied to food processing. In the first instance n-tuple networks are considered, these being particularly useful for high speed production checking operations. Subsequently backpropagation networks are discussed, these being useful both in a more familiar feedback control arrangement and also for such things as recipe prediction.
| Item Type | Conference or Workshop Item (Paper) |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/21758 |
| Item Type | Conference or Workshop Item |
| Refereed | Yes |
| Divisions | Science |
| Uncontrolled Keywords | backpropagation networks, factory automation, food processing, n-tuple networks, neural net based control, process computer control, recipe prediction |
| Download/View statistics | View download statistics for this item |
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