To further enhance the accuracy of wafer lot output time prediction, an intelligent hybrid system is constructed in this study.

Chen (2007) handled the output time prediction problem by firstly classifying the wafer lots with the k-means algorithm. Chen et al. (2008) predicted job ...

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 mechanism for lot output time prediction and achievability evaluation in a wafer fab · Computer Science, Engineering. Computers & industrial ...

The system is composed of two major parts (a k-means classifier and a back-propagation-network regression) and has three intelligent features: incorporating the ...

A hybrid artificial neural network (ANN)-fuzzy inference rules (FIR) system is constructed in this study for lot output time prediction and achievability ...

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An intelligent mechanism for lot output time prediction and achievability evaluation in a wafer fab.

A hybrid artificial neural network (ANN)-fuzzy inference rules (FIR) system is constructed in this study for lot output time prediction and achievability ...

A hybrid intelligent approach is proposed which can be used to estimate the output of each product type in a semiconductor fabrication plant.