Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Shudan Han"'
Publikováno v:
IEEE Access, Vol 9, Pp 39067-39076 (2021)
When modeling and optimizing electromagnetic components, it is the most time consuming for obtaining the training samples with labels from full-wave electromagnetic simulation software. The traditional machine learning (ML) model is usually effective
Externí odkaz:
https://doaj.org/article/2dcc0ddc85b549ae8072efc83d7eb661
Publikováno v:
IEEE Access, Vol 9, Pp 79307-79315 (2021)
In order to overcome the extremely time-consuming drawback of deep learning (DL), broad learning system (BLS) was proposed as an alternative method. This model is simple, fast, and easy to update. To ensure the fitting and generalization ability of B
Externí odkaz:
https://doaj.org/article/006302b519304a3b8933d5c68c2ae9c0
Autor:
Shudan Han, Yubo Tian
Publikováno v:
International Journal of Machine Learning and Cybernetics. 14:1285-1301
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6270a47638b54fbdb80469eb26767252
https://doi.org/10.1007/s13042-022-01698-1
https://doi.org/10.1007/s13042-022-01698-1
Publikováno v:
IEEE Access, Vol 9, Pp 39067-39076 (2021)
When modeling and optimizing electromagnetic components, it is the most time consuming for obtaining the training samples with labels from full-wave electromagnetic simulation software. The traditional machine learning (ML) model is usually effective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58629413641100adcd3fca497f8d907a
https://ieeexplore.ieee.org/document/9366468/
https://ieeexplore.ieee.org/document/9366468/