Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A Case-Based Reasoning Approach for Due-Date Assignment in a Wafer Fabrication Factory
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
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Output time prediction is a critical task to a wafer fab (fabrication plant). To further enhance the accuracy of wafer lot output time prediction, the concept of input classification is applied to Chen's fuzzy back propagation network (FBPN) approach in this study by pre-classifying input examples with the k-means (kM) classifier before they are fed into the FBPN. Production simulation is also applied in this study to generate test examples. According to experimental results, the prediction accuracy of the intelligent neural system was significantly better than those of four existing approaches: BPN, case-based reasoning (CBR), FBPN without example classification, and evolving fuzzy rules (EFR), in most cases by achieving a 11%-46% (and an average of 31%) reduction in the root-mean-squared-error (RMSE) over the comparison basis - BPN.