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Lot output time prediction is a critical task to a wafer fab (fabrication plant). To further enhance the accuracy of wafer lot output time prediction, an intelligent hybrid system is constructed in this study. Firstly, the concept of input classification is applied to Chen’s fuzzy back propagation network (FBPN) approach in this study by pre-classifying wafer lots with the k-means (kM) classifier...
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