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- W2124681330 abstract "Control charts pattern recognition is one of the most important tools in statistical process control to identify process problems. Unnatural patterns exhibited by such charts can be associated with certain assignable causes affecting the process. In this paper a study is carried out on training algorithms for CCPs recognition and the best one is identified for type I and type II errors for generalization without early stopping and with early stopping." @default.
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- W2124681330 date "2011-01-01" @default.
- W2124681330 modified "2023-09-26" @default.
- W2124681330 title "Training Multilayered Perceptrons for Pattern Recognition: A Comparative Study of Five Training Algorithms" @default.
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