TestDNA-E: Wafer Defect Signature for Pattern Recognition by Ensemble Learning

Abstract

We propose a machine learning based method targeted for accurate wafer defect map classification. The proposed method is referred to as TestDNA-E, as it applies ensemble learning based on improved TestDNA features. Experimental results show that the proposed method achieves high hit rate for each defect type and overall accuracy.