[1] |
Junhuan ZHANG, Zhengyi ZHU, Kewei CAI.
Curriculum design for artificial intelligence and quantitative trading
[J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(1): 104-112.
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[2] |
Jingwei LU, Xiang CHENG, Fei-Yue WANG.
Artificial intelligence and deep learning methods for solving differential equations: the state of the art and prospects
[J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(4): 461-476.
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[3] |
Qiang WU, Xueting JI, Linyuan LYU.
Artificial intelligence technologies and applications in the metaverse
[J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(3): 324-334.
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[4] |
Wenzhu LAI, Dewang CHEN, Zhenfeng HE, Xinguo DENG, CARLO Marano GIUSEPPE.
Overview of metro train driving technology development:from manual driving to intelligent unmanned driving
[J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(3): 335-343.
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[5] |
Dongwei HU, Xiaolu FENG.
Theoretical framework of brain modelling and highlighted problems
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(4): 412-434.
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[6] |
Yaling LI, Linyao YANG, Jun GE, Yuanqi QIN, Xiao WANG.
Game 5.0: social cognitionparallel game based on the parallel systems and machine game
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(4): 507-520.
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[7] |
Fei-Yue WANG.
Parallel philosophy and intelligent technology: dual equations and testing systems for parallel industries and smart societies
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(3): 245-255.
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[8] |
Wen LIU, Kunlin HU, Yan LI, Zhao LIU.
A review of prediction methods for moving target trajectories
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(2): 149-160.
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[9] |
Jun WU, Jun ZHANG.
Planning and practice of the Yangtze River smart city platform
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(2): 211-217.
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[10] |
Chenxi LIU, Binghong LIU, Xian ZHANG, Xinnan LONG, Mugen PENG.
Intelligent service oriented fog radio access network:principles, technologies and challenges
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(1): 10-17.
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[11] |
Zhaoyang LIU, Chaoxu MU, Changyin SUN.
An overview on algorithms and applications of deep reinforcement learning
[J]. Chinese Journal of Intelligent Science and Technology, 2020, 2(4): 314-326.
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[12] |
Yu SHEN,Jinpeng HAN,Lingxi LI,Fei-Yue WANG.
AI in game intelligence—from multi-role game to parallel game
[J]. Chinese Journal of Intelligent Science and Technology, 2020, 2(3): 205-213.
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[13] |
Fei-Yue WANG,Dongpu CAO,Qinglai WEI.
Reinforcement learning:toward action-knowledge merged intelligent mechanisms and algorithms
[J]. Chinese Journal of Intelligent Science and Technology, 2020, 2(2): 101-106.
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[14] |
Liwei OUYANG,Yong YUAN,Xinhu ZHENG,Jun ZHANG,Fei-Yue WANG.
A novel blockchain-based surveillance and early-warning technology for infectious diseases
[J]. Chinese Journal of Intelligent Science and Technology, 2020, 2(2): 135-143.
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[15] |
Yidong LI,Jun ZHANG,Yaodong TAO,Wei WANG,Yuanxiang GU,Fei-Yue WANG.
Parallel security:generative adversarial systems for intelligent security in CPSS
[J]. Chinese Journal of Intelligent Science and Technology, 2020, 2(2): 194-202.
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