A hybrid neural network model in handwritten word recognition
Neural Networks
SOM Ensemble-Based Image Segmentation
Neural Processing Letters
A Hybrid SOM-BPN Approach to Lot Output Time Prediction in a Wafer Fab
Neural Processing Letters
An intelligent hybrid system for wafer lot output time prediction
Advanced Engineering Informatics
Neural networks that learn from fuzzy if-then rules
IEEE Transactions on Fuzzy Systems
Computers and Industrial Engineering
International Journal of Systems Science
Robotics and Computer-Integrated Manufacturing
A hybrid fuzzy and neural approach for DRAM price forecasting
Computers in Industry
Computers and Industrial Engineering
A collaborative and artificial intelligence approach for semiconductor cost forecasting
Computers and Industrial Engineering
A fuzzy-neural approach for global CO2 concentration forecasting
Intelligent Data Analysis
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An intelligent mechanism is constructed in this study for lot output time prediction and achievability evaluation in a wafer fabrication plant (wafer fab), which are critical tasks to the wafer fab. The intelligent mechanism is composed of two parts, and has three intelligent features: example classification, artificial neural networking, and fuzzy reasoning. In the first part of the intelligent mechanism, a hybrid self-organization map (SOM) and back propagation network (BPN) is constructed to predict the output time of a wafer lot. According to experimental results, the prediction accuracy of the hybrid SOM-BPN was significantly better than those of many existing approaches. In the second part of the fuzzy system, a set of fuzzy inference rules (FIRs) are established to evaluate the achievability of an output time forecast, which is defined as the possibility that the fabrication on the wafer lot can be finished in time before the output time forecast. Achievability is as important as accuracy and efficiency, but has been ignored in traditional studies. With the proposed mechanism, both output time prediction and achievability evaluation can be concurrently accomplished.