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Title:
COGNITIVE LEARNING METHOD BASED ON BRAIN MECHANISM
Document Type and Number:
WIPO Patent Application WO/2022/247151
Kind Code:
A1
Abstract:
The present invention provides a cognitive learning method based on a brain mechanism. By means of the present invention, the most suitable algorithm type and parameters are selected according to an environment and a task, such that a good learning effect can be obtained in various different environments and tasks, and an erroneous behavior can be corrected. A framework internally comprises four main modules, namely, a cognitive feature extraction module, a cognitive control module, a learning network module and a memory module, wherein the memory module internally includes a database, a cognitive case library and an algorithm and hyper-parameter library, which respectively store dynamic environment and task data, a cognitive case, and a specific algorithm and hyper-parameter value. For a dynamic environment and a dynamic task, the most suitable algorithm type and hyper-parameter combination can be flexibly selected. Moreover, erroneous flag data is corrected by correct flag data by means of the principle of "good money drives out bad money", such that the robustness of training data is realized.

Inventors:
WU QIHUI (CN)
RUAN TIANCHEN (CN)
ZHAO SHIJIN (CN)
ZHOU FUHUI (CN)
HUANG YANG (CN)
Application Number:
PCT/CN2021/129297
Publication Date:
December 01, 2022
Filing Date:
November 08, 2021
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Assignee:
UNIV NANJING AERONAUTICS & ASTRONAUTICS (CN)
International Classes:
G06K9/62
Foreign References:
CN113255765A2021-08-13
CN111714118A2020-09-29
CN109447140A2019-03-08
US20170091664A12017-03-30
Attorney, Agent or Firm:
NANJING ZHONGSHAN PATENT AGENT CO., LTD. (CN)
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