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.
Patent No.:
Date of Patent:
Apr. 14, 2026
Filed:
Jun. 08, 2023
Huzhou University, Huzhou, CN;
Yunliang Jiang, Huzhou, CN;
Xiongtao Zhang, Huzhou, CN;
Jungang Lou, Huzhou, CN;
Qing Shen, Huzhou, CN;
Jiangwei Weng, Qingdao, CN;
Huzhou University, Huzhou, CN;
Abstract
This application provides a born-again TSK fuzzy classifier based on knowledge distillation. The born-again TSK fuzzy classifier based on knowledge distillation is denoted as CNNBaTSK, and a fuzzy rule of CNNBaTSK includes two parts: an antecedent part based on soft label information and a consequent part based on original data. A method for constructing the fuzzy rule of CNNBaTSK includes following steps: Step 1: taking, by the CNNBaTSK, the original data as input, obtaining a probability distribution of an output layer through a layer-by-layer neural expression, and introducing a distillation temperature to generate soft label information of DATASET; Step 2: partitioning the soft label information into five fixed fuzzy partitions to construct the fuzzy rule in a fuzzy part of the CNNBaTSK; Step 3: introducing the original data to calculate a consequent parameter, and optimizing the consequent parameter of CNNBaTSK using a non-iterative learning method.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile