Automatic learning |
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Authors: | Powner ET Walburn DH |
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Affiliation: | Sch. of Eng., Sussex Univ., Brighton, UK; |
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Abstract: | Knowledge-based systems have made their mark in improving many manufacturing processes, but there is still a stumbling block in the process of converting human knowledge into a form where a computer or expert system can use it. The authors describe a successful way of deriving knowledge directly from raw data. The data gathered are processed for all shifts over a period of seven days to produce, for each shift, a value for the productivity variables. |
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