Synonyme wurden verwendet für: learning
Suche ohne Synonyme: keywords:(learning)

1–50 von 108 Ergebnissen
|

    Decision making for highway complex scenario by improved safety field with learning process

    Xu, Can / Zhao, Wanzhong / Liu, Jingqiang et al. | SAGE Publications | 2022
    Schlagwörter: learning process

    Preceding vehicle following algorithm with human driving characteristics

    Pan, Feng / Bao, Hong | SAGE Publications | 2021
    Schlagwörter: reinforcement learning , Inverse reinforcement learning

    Soft one-class extreme learning machine for turboshaft engine fault detection

    Zhao, Yong-Ping / Huang, Gong | SAGE Publications | 2022
    Schlagwörter: machine learning , one-class extreme learning machine

    Deep reinforcement learning-based energy management strategies for energy-efficient driving of hybrid electric buses

    Wang, Kunyu / Yang, Rong / Huang, Wei et al. | SAGE Publications | 2023
    Schlagwörter: generative adversarial imitation learning , 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

    Non-intrusive reduced-order modeling for fluid problems: A brief review

    Yu, Jian / Yan, Chao / Guo, Mengwu | SAGE Publications | 2019
    Schlagwörter: machine learning

    Online learning fuzzy vibration control of smart truss structure

    Xu, Rui / Li, Dongxu / Jiang, Jianping | SAGE Publications | 2017
    Schlagwörter: online learning

    A review of the technological developments for interlocking at level crossing

    Freier Zugriff
    Fayyaz, Muhammad Asad Bilal / Alexoulis-Chrysovergis, Aris C / Southgate, Matthew J et al. | SAGE Publications | 2021
    Schlagwörter: deep learning

    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

    A review of the artificial neural network surrogate modeling in aerodynamic design

    Sun, Gang / Wang, Shuyue | SAGE Publications | 2019
    Schlagwörter: machine learning

    Application of neural networks for the prediction of railway bearing failures

    Garrido Martínez-Llop, Pablo / Sanz Bobi, Juan de Dios / Huera Plaza, Alberto | SAGE Publications | 2022
    Schlagwörter: Machine learning , deep learning

    Cooperative adaptive cruise control system for electric vehicles through a predictive deep reinforcement learning approach

    Moghaddam, Iman Tahbaz-zadeh / Ayati, Moosa / Taghavipour, Amir | SAGE Publications | 2024
    Schlagwörter: deep reinforcement learning (deep RL) , deep learning (DL)

    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

    Mean line aerodynamic design of an axial compressor using a novel design approach based on reinforcement learning

    Liu, Yi / Chen, Jiang / Cheng, Jinxin | SAGE Publications | 2022
    Schlagwörter: reinforcement learning

    Integrated celestial navigation for spacecraft using interferometer and Earth sensor

    Xiong, Kai / Wei, Chunling | SAGE Publications | 2020
    Schlagwörter: Q-learning

    Dynamic modelling and control of a twin-rotor system using adaptive neuro-fuzzy inference system techniques

    Omar, M / Zaidan, M A / Tokhi, M O | SAGE Publications | 2012
    Schlagwörter: online learning

    Optimal reinforcement learning and probabilistic-risk-based path planning and following of autonomous vehicles with obstacle avoidance

    Freier Zugriff
    Taghavifar, Hamid / Taghavifar, Leyla / Hu, Chuan et al. | SAGE Publications | 2024
    Schlagwörter: reinforcement learning

    Online maximization of extracted energy in sea wave energy converters using temporal-difference learning

    Khaleghi, Sadegh / Moghaddam, Reihaneh Kardehi / Sistani, Mohammadbagher Naghibi | SAGE Publications | 2023
    Schlagwörter: Temporal difference learning

    Performance evaluation and prediction of rudders based on machine learning technology

    Chang, Binglu / Yang, Ruifeng / Guo, Chenxia et al. | SAGE Publications | 2019
    Schlagwörter: machine learning

    Neural networks for modelling the energy consumption of metro trains

    Martínez Fernández, Pablo / Salvador Zuriaga, Pablo / Villalba Sanchís, Ignacio et al. | SAGE Publications | 2020
    Schlagwörter: machine learning

    Real-time prediction for the surge of turboshaft engine using multi-branch feature fusion neural network

    Zhang, Xing-Long / Zhang, Tian-Hong / Li, Ling-Wei et al. | SAGE Publications | 2023
    Schlagwörter: deep learning

    Deep learning procedure for knock, performance and emission prediction at steady-state condition of a gasoline engine

    Shin, Seunghyup / Lee, Sangyul / Kim, Minjae et al. | SAGE Publications | 2020
    Schlagwörter: Deep learning

    Classification-learning-based framework for predicting railway track irregularities

    Bai, Lei / Liu, Rengkui / Sun, Quanxin et al. | SAGE Publications | 2016
    Schlagwörter: Classification learning

    Machine learning based prediction of rail transit signal failure: A case study in the United States

    Dai, Junyan / Liu, Xiang | SAGE Publications | 2023
    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

    Self-learning control for coordinated collision avoidance of automated vehicles

    Wang, Yan / Yin, Guodong / Li, Yanjun et al. | SAGE Publications | 2021
    Schlagwörter: self-learning control

    Maneuvering penetration strategies of ballistic missiles based on deep reinforcement learning

    Qiu, Xiaoqi / Gao, Changsheng / Jing, Wuxing | SAGE Publications | 2022
    Schlagwörter: deep reinforcement learning

    Deep learning-based inertia tensor identification of the combined spacecraft

    Chu, Weimeng / Wu, Shunan / He, Xiao et al. | SAGE Publications | 2020
    Schlagwörter: deep learning

    Deep reinforcement learning based path tracking controller for autonomous vehicle

    Chen, I-Ming / Chan, Ching-Yao | SAGE Publications | 2021
    Schlagwörter: deep reinforcement learning

    Risk prediction and factor analysis of rider’s injury severity in passenger car and E-bike accidents based on interpretable machine learning

    Wei, Tianzheng / Zhu, Tong / Liu, Haoxue | SAGE Publications | 2024
    Schlagwörter: machine learning

    A self-learning lane change motion planning system considering the driver’s personality

    Gao, Zhenhai / Zhu, Naixuan / Gao, Fei et al. | SAGE Publications | 2021
    Schlagwörter: self-learning

    Tactical driving decisions of unmanned ground vehicles in complex highway environments: A deep reinforcement learning approach

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

    Energy management strategy of intelligent plug-in split hybrid electric vehicle based on deep reinforcement learning with optimized path planning algorithm

    Xiong, Shengguang / Zhang, Yishi / Wu, Chaozhong et al. | SAGE Publications | 2021
    Schlagwörter: reinforcement learning

    Study of the influence of multiple factors on the boundary layer of a high-lift LPT with the RBF-GA method

    Sun, Shuang / Huang, Zhen / Kang, Jinhui et al. | SAGE Publications | 2024
    Schlagwörter: machine learning

    Research on automated parking perception based on a multi-sensor method

    Yang, Yifan / Huang, Jiang / Sun, Kai et al. | SAGE Publications | 2023
    Schlagwörter: deep 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

    Net winch design in trawlers, influence of vessel size and fishing ground

    Carral Couce, Luis / Couce, Juan Carral / Tarrío-Saavedra, Javier et al. | SAGE Publications | 2019
    Schlagwörter: statistical learning

    Artificial intelligence-aided detection of rail defects based on ultrasonic imaging data

    Li, Weitian / Wang, Jingru / Qin, Xuanyang et al. | SAGE Publications | 2024
    Schlagwörter: machine 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

    Beta distribution-based knock probability map learning and spark timing control for SI engines

    Zhao, Kai / Shen, Tielong | SAGE Publications | 2021
    Schlagwörter: map learning

    Hierarchical model predictive control strategy based on Q-Learning algorithm for hybrid electric vehicle platoon

    Yin, Yanli / Huang, Xuejiang / Zhan, Sen et al. | SAGE Publications | 2024
    Schlagwörter: Q-Learning

    Construction of a deep sparse filtering network for rotating machinery fault diagnosis

    Cheng, Chun / Zou, Wei / Wang, Weiping et al. | SAGE Publications | 2022
    Schlagwörter: deep learning

    Modeling human-like longitudinal driver model for intelligent vehicles based on reinforcement learning

    Xie, Ju / Xu, Xing / Wang, Feng et al. | SAGE Publications | 2021
    Schlagwörter: reinforcement learning

    Navigational control of underwater mobile robot using dynamic differential evolution approach

    Parhi, Dayal R / Kundu, S | SAGE Publications | 2017
    Schlagwörter: self-learning

    Moment-independent sensitivity analysis of a fold mechanism based on an active learning kriging method

    Hu, Yebao / Liu, Yongshou / Guo, Qing et al. | SAGE Publications | 2024
    Schlagwörter: active learning kriging

    Pressure control based on reinforcement learning strategy of the pneumatic relays for an electric-pneumatic braking system

    Shan, Tianshi / Li, Liang / Wu, Xiuheng et al. | SAGE Publications | 2023
    Schlagwörter: Q-learning

    Dynamics-based deep learning and fractional-order fixed-time sliding mode control for space robot impedance system

    Zhao, Tongyu / Sun, Guanghui / Zhu, Weihong | SAGE Publications | 2023
    Schlagwörter: deep learning

    Co-design of active vibration control and optimal sensor and actuator placement for a flexible wing using reinforcement learning

    He, Tianyi / Su, Weihua | SAGE Publications | 2023
    Schlagwörter: reinforcement learning

    Data-driven trajectory-tracking in automated parking system via iterative learning compensation and model predictive control

    Song, Shaoyu / Zhang, Shukai | SAGE Publications | 2023
    Schlagwörter: iterative learning control