Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Xingqian Chen"'
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6542 (2023)
Warts are a prevalent condition worldwide, affecting approximately 10% of the global population. In this study, a machine learning method based on a dendritic neuron model is proposed for wart-treatment efficacy prediction. To prevent premature conve
Externí odkaz:
https://doaj.org/article/03e53afd504e446cb423b99f111938c2
Publikováno v:
IEEE Access, Vol 7, Pp 141947-141959 (2019)
With the rapid development of artificial neural networks, recent studies have shown that dendrites play a vital role in neural computations. In this study, we propose a dendritic neuron model called the approximate logic dendritic neuron model (ALDNM
Externí odkaz:
https://doaj.org/article/eec31a966aaf42cc8624e62e1f2a81fc
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
Microarray gene expression data provide a prospective way to diagnose disease and classify cancer. However, in bioinformatics, the gene selection problem, i.e., how to select the most informative genes from thousands of genes, remains challenging. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17ae4436efe29a501722ffc6b4faee50
https://doi.org/10.1155/2021/5227377
https://doi.org/10.1155/2021/5227377
Publikováno v:
Electronics; Volume 12; Issue 1; Pages: 94
The logic dendritic neuron model (LDNM), which is inspired by natural neurons, has emerged as a novel machine learning model in recent years. However, recent studies have also shown that the classification performance of LDNM is restricted by the bac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70f39f2454a9f158027932e17e916ebc
Publikováno v:
2022 4th International Conference on Frontiers Technology of Information and Computer (ICFTIC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe0305cfd3386fb166c552a423b852ef
https://doi.org/10.1109/icftic57696.2022.10075202
https://doi.org/10.1109/icftic57696.2022.10075202
Publikováno v:
2022 4th International Conference on Frontiers Technology of Information and Computer (ICFTIC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::197d4321f388db283c49af5fcea6a5a4
https://doi.org/10.1109/icftic57696.2022.10075221
https://doi.org/10.1109/icftic57696.2022.10075221
Publikováno v:
Solar Energy Materials and Solar Cells. 257:112381
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60c4218ada14a9037008cfe40a7f6123
https://doi.org/10.1016/j.solmat.2023.112381
https://doi.org/10.1016/j.solmat.2023.112381
Publikováno v:
Information Sciences. 540:69-88
Despite the rapid development of computer techniques and the unremitting efforts of researchers, the protein structure prediction (PSP) problem remains challenging in computational biology and bioinformatics. In this study, we model the PSP problem a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc0c12e82399a6c2a6191d050dfb809c
https://doi.org/10.1016/j.ins.2020.06.003
https://doi.org/10.1016/j.ins.2020.06.003
Autor:
Zongheng Sun, Wei Chen, Xiaohu Zhang, Miao Xu, Guoguang Xing, Xingqian Chen, Bowen Feng, Haozhen Li, Jiehua Ma, Yan Wang, Xiaolong Du, Yaoping Liu
Publikováno v:
Solar Energy Materials and Solar Cells. 251:112137
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::247cdf41f9eca17843c0361fe9f7cf86
https://doi.org/10.1016/j.solmat.2022.112137
https://doi.org/10.1016/j.solmat.2022.112137
Autor:
Guoguang Xing, Wei Chen, Hanbo Tang, Xingqian Chen, Bowen Feng, Haozhen Li, Zongheng Sun, Yan Wang, Xiaolong Du, Yaoping Liu
Publikováno v:
Solar Energy Materials and Solar Cells. 245:111866
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b30d1edb4b6f0b2c1f5405ae46b4b7b1
https://doi.org/10.1016/j.solmat.2022.111866
https://doi.org/10.1016/j.solmat.2022.111866