Machine-Learning-Assisted Intelligent Processing and Optimization of Complex Systems

被引:1
|
作者
Luo, Xiong [1 ,2 ,3 ]
Yuan, Manman [4 ]
机构
[1] Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China
[2] Univ Sci & Technol Beijing, Shunde Innovat Sch, Foshan 528399, Peoples R China
[3] Beijing Key Lab Knowledge Engn Mat Sci, Beijing 100083, Peoples R China
[4] Inner Mongolia Univ, Sch Comp Sci, Hohhot 010021, Peoples R China
基金
北京市自然科学基金;
关键词
D O I
10.3390/pr11092595
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
引用
收藏
页数:4
相关论文
共 50 条
  • [41] Machine-learning-assisted molecular design of phenylnaphthylamine-type antioxidants
    Du, Shanda
    Wang, Xiujuan
    Wang, Runguo
    Lu, Ling
    Luo, Yanlong
    You, Guohua
    Wu, Sizhu
    PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2022, 24 (21) : 13399 - 13410
  • [42] Machine-learning-assisted prediction of the mechanical properties of Cu–Al alloy
    Zheng-hua Deng
    Hai-qing Yin
    Xue Jiang
    Cong Zhang
    Guo-fei Zhang
    Bin Xu
    Guo-qiang Yang
    Tong Zhang
    Mao Wu
    Xuan-hui Qu
    International Journal of Minerals,Metallurgy and Materials, 2020, 27 (03) : 362 - 373
  • [43] Machine-Learning-Assisted Routing in SDN-based Optical Networks
    Troia, Sebastian
    Rodriguez, Alberto
    Martin, Ignacio
    Alberto Hernandez, Jose
    Gonzalez De Dios, Oscar
    Alvizu, Rodolfo
    Musumeci, Francesco
    Maier, Guido
    2018 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC), 2018,
  • [44] Machine-Learning-Assisted Signal Detection in Ambient Backscatter Communication Networks
    Toro, Usman Saleh
    ElHalawany, Basem M.
    Wong, Aslan B.
    Wang, Lu
    Wu, Kaishun
    IEEE NETWORK, 2021, 35 (06): : 120 - 125
  • [45] Machine-learning-assisted hydrogen adsorption descriptor design for bilayer MXenes
    Tian, Weizhi
    Ren, Gongchang
    Wu, Yuanting
    Lu, Sen
    Huan, Yuan
    Peng, Tiren
    Liu, Peng
    Sun, Jiangong
    Su, Hui
    Cui, Hong
    JOURNAL OF CLEANER PRODUCTION, 2024, 450
  • [46] Machine-learning-assisted correction of correlated qubit errors in a topological code
    Baireuther, P.
    O'Brien, T. E.
    Tarasinski, B.
    Beenakker, C. W. J.
    QUANTUM, 2018, 2
  • [47] Machine-learning-assisted prediction of surgical outcomes in patients undergoing gastrectomy
    Lu, Sheng
    Yan, Min
    Li, Chen
    Yan, Chao
    Zhu, Zhenggang
    Lu, Wencong
    CHINESE JOURNAL OF CANCER RESEARCH, 2019, 31 (05) : 797 - +
  • [48] Machine-learning-assisted searching for thermally conductive polymers: A mini review
    Hu, Yinglong
    Wang, Qi
    Ma, Hao
    JOURNAL OF APPLIED PHYSICS, 2024, 135 (12)
  • [49] Machine learning in intelligent image processing
    Tao, Dacheng
    Wang, Dianhui
    Murtagh, Fionn
    SIGNAL PROCESSING, 2013, 93 (06) : 1399 - 1400
  • [50] On the Generalizability of Machine-Learning-Assisted Anisotropy Mappings for Predictive Turbulence Modelling
    McConkey, Ryley
    Yee, Eugene
    Lien, Fue-Sang
    INTERNATIONAL JOURNAL OF COMPUTATIONAL FLUID DYNAMICS, 2022, 36 (07) : 555 - 577