Gaseous fuel mixture parameter prediction in a steel works using minimalist neural networks
This thesis reports a developmental programme of work undertaken for a number of installations at the Scunthorpe site of Corus plc (formerly British Steel plc). The central theme concerns the optimisation of the combustion of gas mixes produced by onsite processes through parameter prediction, the c...
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Sheffield Hallam University
2005
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.437407 |