Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Zhanbo Dong"'
Autor:
Yusi Yang, Zhanbo Dong, Yongkang Wang, Fengyi Xiao, Jinliang Yang, Dong Zhao, Jianhui Ye, Xinqiang Zheng, Yuerong Liang, Jianliang Lu
Publikováno v:
Foods, Vol 11, Iss 22, p 3625 (2022)
Adsorption is an important technology for the separation of different tea components. The adsorption behavior of L-theanine onto adsorbents was comprehensively studied in this paper. Among tested adsorbents, cation exchange resin ZGSPC106Na and D001S
Externí odkaz:
https://doaj.org/article/fe7bdbd385714c42b07fa1f0b55442db
Publikováno v:
LWT. 146:111512
In the present study, volatile compounds from 15 yellow tea samples were extracted and examined using stir bar sorptive extraction (SBSE) combined with gas chromatography-mass spectrometry (GC-MS), and the key odorants were identified by gas chromato
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a816bae6b624172c416596aa8db8322e
https://doi.org/10.1016/j.lwt.2021.111512
https://doi.org/10.1016/j.lwt.2021.111512
Publikováno v:
FSKD
In this paper, a new neuro-fuzzy approach for complex dynamical systems identification is proposed. The approach combines the merits of fuzzy logic theory, radial basis function neural networks, and differential evolution algorithm. The structure of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1be3ff78fabcc01c2f297b81e57eabac
https://doi.org/10.1109/fskd.2012.6233937
https://doi.org/10.1109/fskd.2012.6233937
Publikováno v:
2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC).
In this paper, a modified TS-type neuro-fuzzy system (MTSNFS) for on-line identification is proposed, which possesses six layers of neurons to perform the fuzzy inference. A modified self-organizing competitive learning algorithm with capabilities of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f749d8366a4633180fa4529bb1405c00
https://doi.org/10.1109/aimsec.2011.6010570
https://doi.org/10.1109/aimsec.2011.6010570