Abstract
Because high-dimensional wafer bin maps (WBMs) cause various features, it is difficult to search the similarity among WBMs via conventional pattern recognition methods. This study develops a novel morphology-based support vector machine for defective wafer detection. The experimental results demonstrate its usefulness in yield improvements on precision and computation cost. © 2004-2012 IEEE.
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Liao, C. S., Hsieh, T. J., Huang, Y. S., & Chien, C. F. (2014). Similarity searching for defective wafer bin maps in semiconductor manufacturing. IEEE Transactions on Automation Science and Engineering, 11(3), 953–960. https://doi.org/10.1109/TASE.2013.2277603
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