The machine learning implementation and theoretical foundations of intelligent control of accelerator particle beams

被引：0
|
作者：
Yan, Xueqing [1 ]
机构：
[1] Peking Univ, State Key Lab Nucl Phys & Technol, Beijing 100871, Peoples R China
来源：
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY | 2025年 / 68卷 / 02期
关键词：
D O I：
10.1007/s11433-024-2525-8
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
引用
收藏
页数：2
相关论文
共 50 条
  • [41] Review on Machine Learning Methods for Motion Planning and Control Policy of Intelligent Vehicles
    Gong J.
    Gong C.
    Lin Y.
    Li Z.
    Chao L.
    Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2022, 42 (07): : 665 - 674
  • [42] Intelligent Traffic Light Control of Isolated Intersections Using Machine Learning Methods
    Araghi, Sahar
    Khosravi, Abbas
    Johnstone, Michael
    Creighton, Doug
    2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013), 2013, : 3621 - 3626
  • [43] Using Nosql Databases and Machine Learning for Implementation of Intelligent Decision System in Complex Vision Patalogies
    Eremeev, A. P.
    Ivliev, S. A.
    Vagin, V. N.
    PROCEEDINGS OF THE 2018 3RD RUSSIAN-PACIFIC CONFERENCE ON COMPUTER TECHNOLOGY AND APPLICATIONS (RPC), 2018,
  • [44] Design and Implementation of a Machine-Learning Observer for Sensorless PMSM Drive Control
    Putra, Dwi Sudarno
    Chen, Seng-Chi
    Khong, Hoai-Hung
    Cheng, Fred
    APPLIED SCIENCES-BASEL, 2022, 12 (06):
  • [45] Machine Learning Based Manufacturing Control System for Intelligent Cyber-Physical Systems
    Shah, Vaibhav
    Putnik, Goran D.
    FME TRANSACTIONS, 2019, 47 (04): : 802 - 809
  • [46] Research on the Implementation of Financial Risk Control Models and Algorithms Based on Machine Learning
    Fan, Hanwei
    Alenezi, Mamdouh
    INTERNATIONAL JOURNAL OF E-COLLABORATION, 2024, 20 (01)
  • [47] Intelligent Temperature Control of a Stretch Blow Molding Machine Using Deep Reinforcement Learning
    Hsieh, Ping-Cheng
    PROCESSES, 2023, 11 (07)
  • [48] Intelligent explicit model predictive control based on machine learning for microbial desalination cells
    Wang, Jing
    Wang, Qilun
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2019, 233 (07) : 751 - 763
  • [49] AN INTELLIGENT AND AUTOMATIC CONTROL METHOD FOR TOBACCO FLUE-CURING BASED ON MACHINE LEARNING
    Zhang, Jian
    Tian, Fengchun
    Yang, Simon X.
    Liu, Yan
    Liang, Zhifang
    Wang, Di
    INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2016, 31 (06): : 509 - 518
  • [50] Development of Intelligent Fault-Tolerant Control Systems with Machine Learning, Deep Learning, and Transfer Learning Algorithms: A Review
    Amin, Arslan Ahmed
    Iqbal, Muhammad Sajid
    Shahbaz, Muhammad Hamza
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 238
12345