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:
Sep. 22, 2026

Filed:

Oct. 17, 2022
Applicant:

Zhejiang University, Hangzhou, CN;

Inventors:

Zhenbo Wei, Hangzhou, CN;

Jinyang Zhang, Hangzhou, CN;

Jun Wang, Hangzhou, CN;

Dongdong Du, Hangzhou, CN;

Shaoming Cheng, Hangzhou, CN;

Assignee:

ZHEJIANG UNIVERSITY, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/21 (2023.01); G01N 22/04 (2006.01); G06F 18/20 (2023.01); G06F 18/2451 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 18/21 (2023.01); G01N 22/04 (2013.01); G06F 18/2451 (2023.01); G06F 18/29 (2023.01); G06N 20/00 (2019.01);
Abstract

Disclosed is a two-stage frequency selection method and device for microwave frequency sweep data. The method includes: acquiring microwave frequency sweep data; performing frequency selection on the microwave frequency sweep data by using a random forest-recursive feature elimination algorithm, taking a preset parameter in the random forest-recursive feature elimination algorithm as a hyper-parameter, changing the value of the hyper-parameter, and generating a series of candidate frequency subsets within different frequencies; building prediction models on the basis of the frequency sweep data corresponding to the candidate frequency subsets of different frequencies; evaluating the performance of each prediction model by means of 10 fold cross validation, and calculating evaluation index values of model performance; and taking the evaluation indexes as a voting basis, and selecting an optimal frequency subset by using a majority voting method.


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