The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 28, 2013

Filed:

Jun. 10, 2010
Applicants:

Wen Jin, Fremont, CA (US);

Vi Vuong, Fremont, CA (US);

Walter Dean Mieher, Los Gatos, CA (US);

Inventors:

Wen Jin, Fremont, CA (US);

Vi Vuong, Fremont, CA (US);

Walter Dean Mieher, Los Gatos, CA (US);

Assignees:

Tokyo Electron Limited, Tokyo, JP;

KLA-Tencor Corporation, Milpitas, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01);
U.S. Cl.
CPC ...
Abstract

Automated determination of a number of profiles for a training data set to be used in training a machine learning system for generating target function information from modeled profile parameters. In one embodiment, a first principal component analysis (PCA) is performed on a training data set, and a second PCA is performed on a combined data set which includes the training data set and a test data set. A test data set estimate is generated based on the first PCA transform and the second PCA matrix. The size of error between the test data set and the test data set estimate is used to determine whether a number of profiles associated with the training data set is sufficiently large for training a machine learning system to generate a library of spectral information.


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