Machine learning model generation and updating for manufacturing equipment
Assignee
Applied Materials, Inc.
Inventors
Pengyu Han, Hong-Rui Chen, Shu-Yu Chen, Wan-Hsueh Lai, Pin Ham Lu, Zhengping Yao
Abstract
A method includes determining that conditions of a processing chamber have changed since a trained machine learning model associated with the processing chamber was trained. The method further includes determining whether a change in the conditions of the processing chamber is a gradual change or a sudden change. Responsive to determining that the change in the conditions of the processing chamber is a gradual change, the method further includes performing a first training process to generate a new machine learning model. Responsive to determining that the change in the conditions of the processing chamber is a sudden change, the method further includes performing a second training process to generate the new machine learning model. The first training process is different from the second training process.
CPC Classifications
Filing Date
2022-02-09
Application No.
17668280
Claims
20