1–20 von 108 Ergebnissen
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Ihre Suche:
keywords:(learning)

    A bi-level control framework with temperature rise inference and intelligent decision-making longitudinal control on downgrade hydrodynamic braking process

    Chen, Xiuqi / Wei, Wei / Tao, Tianlang et al. | SAGE Publications | 2024
    Schlagwörter: deep reinforcement learning

    A comparative study on class-imbalanced gas turbine fault diagnosis

    Bai, Mingliang / Liu, Jinfu / Long, Zhenhua et al. | SAGE Publications | 2023
    Schlagwörter: machine learning , class-imbalanced learning

    A deep learning method for the prediction of 6-DoF ship motions in real conditions

    Freier Zugriff
    Zhang, Mingyang / Taimuri, Ghalib / Zhang, Jinfen et al. | SAGE Publications | 2023
    Schlagwörter: deep learning

    A deep reinforcement learning-based approach for autonomous driving in highway on-ramp merge

    Wang, Huanjie / Yuan, Shihua / Guo, Mengyu et al. | SAGE Publications | 2021
    Schlagwörter: reinforcement learning

    Aero-engine acceleration control using deep reinforcement learning with phase-based reward function

    Hu, Qian-Kun / Zhao, Yong-Ping | SAGE Publications | 2022
    Schlagwörter: deep reinforcement learning

    A fault diagnosis framework for rotating machinery of marine equipment: A semi-supervised learning framework based on contractive stacked autoencoder

    Pan, Penghao / Zhao, Dong / Li, Yueyang | SAGE Publications | 2023
    Schlagwörter: semi-supervised learning

    A feature pseudo-fusion method for intelligent fault diagnosis of electro-hydraulic switch machine inspired by contrastive learning

    Wen, Weigang / Liu, Yang / Bai, Yihao et al. | SAGE Publications | 2023
    Schlagwörter: contrastive learning

    A fractional Fourier transform-based method to detect impacts between the bogie and the car body of a railway vehicle: A data-driven approach

    Gutiérrez-Carvajal, RE / Betancur, German R / Castañeda, Leonel F et al. | SAGE Publications | 2018
    Schlagwörter: machine learning

    A fuzzy-inference-based reinforcement learning method of overtaking decision making for automated vehicles

    Wu, Qiong / Cheng, Shuo / Li, Liang et al. | SAGE Publications | 2022
    Schlagwörter: reinforcement learning

    A learning-based evaluation for lane departure warning system considering driving characteristics

    Jin, Xianjian / Wang, Qikang / Yan, Zeyuan et al. | SAGE Publications | 2024
    Schlagwörter: learning approach

    An algorithm of pretrained fuzzy actor–critic learning applying in fixed-time space differential game

    Wang, Xiao / Shi, Peng / Schwartz, Howard et al. | SAGE Publications | 2021
    Schlagwörter: reinforcement learning

    Analysis of an e-scooter and rider system dynamic response to curb traversing through physics-informed machine learning methods

    Arslan, Ersen / Uyulan, Çağlar | SAGE Publications | 2023
    Schlagwörter: machine learning

    An improved Dueling Deep Q-network with optimizing reward functions for driving decision method

    Cao, Jiaqi / Wang, Xiaolan / Wang, Yansong et al. | SAGE Publications | 2023
    Schlagwörter: deep reinforcement learning

    An optimal approach for generation of time delay algorithms for anti-air missiles

    Nyongesa, H O | SAGE Publications | 2001
    Schlagwörter: evolutionary learning

    An optimized metamodel for predicting damage and oil outflow in tanker collision accidents

    Freier Zugriff
    Das, Tanmoy / Goerlandt, Floris / Tabri, Kristjan | SAGE Publications | 2022
    Schlagwörter: machine learning

    A novel adaptive and fast deep convolutional neural network for bearing fault diagnosis under different working conditions

    Xu, Kun / Li, Shunming / Wang, Jinrui et al. | SAGE Publications | 2020
    Schlagwörter: Deep learning

    A novel control strategy of automatic parallel parking system based on Q-learning

    Zhang, Lanjiang / Wu, Jian / Liu, Congzhi et al. | SAGE Publications | 2024
    Schlagwörter: Q-learning

    A novel deep learning network for accurate lane detection in low-light environments

    Song, Shuang / Chen, Wei / Liu, Qianjie et al. | SAGE Publications | 2022
    Schlagwörter: deep learning

    Anti-jerking and traction torque compensation strategy for P3 + hybrid electric vehicle during power upshift

    Pan, Tao / Zang, Huaiquan | SAGE Publications | 2023
    Schlagwörter: Q-learning weights tuning rules