Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jia-le Cui"'
Autor:
Hao Cai, Zhongjian Bian, Yaoru Hou, Yongliang Zhou, Jia-le Cui, Yanan Guo, Xiaoyun Tian, Bo Liu, Xin Si, Zhen Wang, Jun Yang, Weiwei Shan
Publikováno v:
2023 IEEE International Solid- State Circuits Conference (ISSCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af68f059fa01e1b0992a56a2bddd973f
https://doi.org/10.1109/isscc42615.2023.10067339
https://doi.org/10.1109/isscc42615.2023.10067339
Publikováno v:
Virus evolution. 8(1)
GII.2[P16] and GII.4 Sydney [P16] are currently the two predominant norovirus genotypes. This study sought to clarify their evolutionary patterns by analyzing the major capsid VP1 and RNA-dependent RNA polymerase (RdRp) genes. Sequence diversities we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5c2042106cb35388427188be9ccd297
https://pubmed.ncbi.nlm.nih.gov/35450165
https://pubmed.ncbi.nlm.nih.gov/35450165
Publikováno v:
Advances in Neural Networks-ISNN 2017 ISBN: 9783319590714
ISNN (1)
ISNN (1)
In order to solve the deep self-coding neural network training process, the Sigmoid function back-propagation gradient is easy to disappear, a method based on ReLU activation function is proposed for training the self coding neural network. This pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae2b9b37a1ac3cf77ded2ac2013b73ea
https://doi.org/10.1007/978-3-319-59072-1_6
https://doi.org/10.1007/978-3-319-59072-1_6
