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• W1571161815 abstract "This paper describes the application of neural network techniques to the paper-making industry, particularly for the prediction of paper curl. Paper curl is a common problem and can only be measured reliably off-line, after man- ufacture. Model development is carried out using imperfect data, typical of that collected in many manufacturing environments, and addresses issues pertinent to real-world use. Predictions then are presented in terms that are relevant to the machine operator, as a measure of paper acceptability, a direct prediction of the quality measure, and always with a measure of prediction confidence. Therefore, the techniques described in this paper are widely applicable to industry." @default.
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• W1571161815 date "1999-01-01" @default.
• W1571161815 modified "2023-09-28" @default.
• W1571161815 title "The application of neural networks to the paper-making industry" @default.
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