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SELF-LEARNING: 作品数：62被引量：107H指数：6; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：胡玉昆赵德文张殿华张会福吴雪茵更多>>; 相关机构：东北大学湖南科技大学石家庄信息工程职业学院青岛理工大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金北京市自然科学基金国家重点基础研究发展计划国家高技术研究发展计划更多>>

A self-learning human-machine cooperative control method based on driver intention recognition: 《CAAI Transactions on Intelligence Technology》2024年第5期1101-1115,共15页Yan Jiang Yuyan Ding Xinglong Zhang Xin Xu Junwen Huang; National Natural Science Foundation of China under Grant 61825305,62003361,U21A20518.; Human-machine cooperative control has become an important area of intelligent driving,where driver intention recognition and dynamic control authority allocation are key factors for improving the performance of cooper...; 关键词：Self-leaming Control Hmman-machine Cooperation Intelligent Vehicles Reinfocement Learning

Physical neural networks with self-learning capabilities: 《Science China(Physics,Mechanics & Astronomy)》2024年第8期23-42,共20页Weichao Yu Hangwen Guo Jiang Xiao Jian Shen; supported by the National Key Research and Development Program of China(Grant Nos.2022YFA1403300,and 2020YFA0309100);the National Natural Science Foundation of China(Grant Nos.12204107,and 12074073);Shanghai Municipal Science and Technology Major Project(Grant No.2019SHZDZX01);Shanghai Pujiang Program(Grant No.21PJ1401500);Shanghai Science and Technology Committee(Grant Nos.21JC1406200,and 20JC1415900)。; Physical neural networks are artificial neural networks that mimic synapses and neurons using physical systems or materials.These networks harness the distinctive characteristics of physical systems to carry out compu...; 关键词：SELF-LEARNING physical neural networks neuromorphic computing physical learning

Review of Inductance Identification Methods Considering Inverter Nonlinearity for PMSM: 《Chinese Journal of Electrical Engineering》2024年第2期1-15,共15页Qiwei Wang Jiqing Xue Gaolin Wang Yihua Hu Dianguo Xu; National Natural Science Foundation of China(52307048);the Postdoctoral General Foundation of Heilongjiang(LBH-Z23022).; Permanent magnet synchronous motors(PMSMs)are widely used in high-power-density and flexible control methods.Generally,the inductance changes significantly in real-time machine operations because of magnetic saturatio...; 关键词：Inductance identification inverter nonlinearity self-learning permanent magnet synchronous motor

The Impact of Personalized Learning Path Design on Online Education Platforms on Students’Self-Learning Abilities: 《Education and Teaching Research》2024年第2期59-65,共7页Zhang Yinlei; The study investigates the impact of personalized learning path design on students’self-learning abilities(SLA)within online education platforms.Employing a mixed-methods approach,the research examines the effectiven...; 关键词：Personalized Learning Online Education Platforms Self-Learning Abilities Learner Engagement SELF-EFFICACY Learning Path Design Mixed-Methods Research Educational Technology Adaptive Learning Learner-Centered Education

The Junkyard Courtyard in the Kibbutz Kindergarten in Israel: The Applications of Pedagogy From the Point of View of the Kindergartners: 《US-China Education Review(A)》2024年第1期44-55,共12页Ofer Gat; The“junkyard yard”in the Kibbutz kindergarten reflects a holistic concept that includes nature and its materials on the one hand and the community and the materials that accompany it on the other.This humanistic edu...; 关键词：junkyard YARD Kibbuts education humanistic education SELF-LEARNING

Traffic-Aware Fuzzy Classification Model to Perform IoT Data Traffic Sourcing with the Edge Computing: 《Computers, Materials & Continua》2024年第2期2309-2335,共27页Huixiang Xu; This research is funded by 2023 Henan Province Science and Technology Research Projects:Key Technology of Rapid Urban Flood Forecasting Based onWater Level Feature Analysis and Spatio-Temporal Deep Learning(No.232102320015);Henan Provincial Higher Education Key Research Project Program(Project No.23B520024);a Multi-Sensor-Based Indoor Environmental Parameters Monitoring and Control System.; The Internet of Things(IoT)has revolutionized how we interact with and gather data from our surrounding environment.IoT devices with various sensors and actuators generate vast amounts of data that can be harnessed to...; 关键词：Internet of Things(IoT) edge computing traffic data SELF-LEARNING fuzzy-learning

A novel improved teaching and learning-based-optimization algorithm and its application in a large-scale inventory control system: 《International Journal of Intelligent Computing and Cybernetics》2023年第3期443-501,共59页Zhixiang Chen; This research is funded by the National Natural Science Foundation of China(#71772191).; Purpose–The purpose of this paper is to propose a novel improved teaching and learning-based algorithm(TLBO)to enhance its convergence ability and solution accuracy,making it more suitable for solving large-scale opt...; 关键词：Teaching and learning-based optimization Group-individual multi-mode cooperation Performance-based group teaching Teacher self-learning Team learning

Deep self-learning enables fast,high-fidelity isotropic resolution restoration for volumetric fluorescence microscopy被引量：2: 《Light(Science & Applications)》2023年第9期1943-1960,共18页Kefu Ning Bolin Lu Xiaojun Wang Xiaoyu Zhang Shuo Nie Tao Jiang Anan Li Guoqing Fan Xiaofeng Wang Qingming Luo Hui Gong Jing Yuan; This work was supported by the National Science and Technology Innovation 2030 Grant(2021ZD0201001);the National Natural Science Foundation of China(Grant No.81827901,T2122015);the CAMS Innovation Fund for Medical Sciences(2019-I2M-5-014);the Fundamental Research Funds for the Central Universities(HUST:2019kfyXMBZ011).; One intrinsic yet critical issue that troubles the field of fluorescence microscopy ever since its introduction is the unmatched resolution in the lateral and axial directions(i.e.,resolution anisotropy),which severel...; 关键词：DEEP enable RESOLUTION

A multi-frame sparse self-learning PWC-Net for motion estimation in satellite video scenes: 《Science China(Information Sciences)》2023年第9期209-221,共13页Tengfei WANG Yanfeng GU Shengyang LI; National Natural Science Foundation of Key International Cooperation(Grant No.61720106002);National Natural Science Foundation for Outstanding Scholars(Grant No.62025107)。; Motion estimation is an important approach to acquiring motion information of all targets in satellite video while it provides the ability to real-time monitor the Earth observation region.Compared with the case in co...; 关键词：satellite video scenes motion estimation small blurry targets

A Graph Theory Based Self-Learning Honeypot to Detect Persistent Threats: 《Intelligent Automation & Soft Computing》2023年第3期3331-3348,共18页R.T.Pavendan K.Sankar K.A.Varun Kumar; Attacks on the cyber space is getting exponential in recent times.Illegal penetrations and breaches are real threats to the individuals and organizations.Conventional security systems are good enough to detect the kno...; 关键词：Graph theory DOMINATION Connected Domination Secure Connected Domination HONEYPOT self learning ransomware

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