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Control charts is an important tool of statistical quality control (SQC), and the recognition of mixed abnormal pattern exists on the control chart is one of difficulties of on-line intelligent process quality diagnosis. After limitations of control chart-recognizers used in practice were analyzed, a novel intelligent process quality diagnosis method is proposed with a special model of multi-class...
This paper presents an investigation of the influence of the RePART (Reward and Punishment ARTmap) neural network in structures of ensembles designed by three variants of boosting: Aggressive, Conservative and Inverse Boosting. In this investigation, it is aimed to analyze whether the use of this model is positive for ARTMAP-based ensembles. In addition, it aims to define which boosting strategy is...
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