A hybrid feature selection approach for virtual metrology: Application to CMP process

This paper presents a feature selection method for virtual metrology applied to a chemical mechanical planarization process in the semiconductor industry. The proposed approach is based on a filter method coupled with a wrapper method. The goal of this article is twofold: (i) to improve the prediction accuracy of the considered machine learning algorithms, and (ii) to reduce the computational time...