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- W2117478766 abstract "The authors describe how machine learning can be used to help departmental supervisors to operate a factory as an integrated system. The feasibility of predicting potential problems on the shop floor using symbolic machine learning and neural networks is demonstrated with simulated data of a single department, paint system, and final assembly line. Rules of operation implicit in the simulation model were identified by both methods. >" @default.
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- W2117478766 date "2003-01-02" @default.
- W2117478766 modified "2023-09-26" @default.
- W2117478766 title "Using machine learning to understand manufacturing control issues" @default.
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- W2117478766 doi "https://doi.org/10.1109/caia.1992.200029" @default.
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