Synonyme wurden verwendet für: gradient
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1–20 von 80 Ergebnissen
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    Development of a Patient Behaviour Model for an Adaptive Medical Robot

    Soavi, Giovanni / Knopp, Tilman / Börner, Hendrik et al. | Springer Verlag | 2024
    Schlagwörter: Gradient descent

    Information-Based Patrol Speed Control Method for Rail-Guided Robot System Using Deep Deterministic Policy Gradient Algorithm

    Lee, Hosun / Kwon, Jaesung / Lee, Sungon et al. | Springer Verlag | 2024
    Schlagwörter: Deep Deterministic Policy Gradient algorithm

    Applying Deep Reinforcement Learning for the Active Suspension Control System on Cars

    Kieu, Duc Thinh / Vu, Van Tan / Sename, Olivier et al. | Springer Verlag | 2024
    Schlagwörter: Deep deterministic policy gradient

    Importance and Prunability Analysis of Basic Features in Machine-Learned Aircraft Taxi-Out Time Prediction

    Song, Jianze / Tang, Yulaer / He, Jiawei et al. | Springer Verlag | 2024
    Schlagwörter: Gradient boosted regression trees (GBRT)

    Numerical Simulation Study on Flow Characteristics of the By-Pass Valve of a Supercharged Engine Based on the Finite Volume Method

    Jiang, Wenping / Lv, Xin / Xie, Kaifu et al. | Springer Verlag | 2023
    Schlagwörter: By-pass gradient

    Real-Time Traffic Accident Detection for an Intelligent Mobility in Smart Cities

    Abraham, Anuj / Math, Chetan B. / Prasad, Shitala et al. | Springer Verlag | 2023
    Schlagwörter: Gradient tree boosting

    Design and Flight Test of Artificial Feel System

    Liu, Yanhui / Wang, Haowei | Springer Verlag | 2023
    Schlagwörter: stick force gradient

    Gradient Index Profile, a Novel Idea for Predicting Equivalent Conicity

    Persson, Ingemar / Jönsson, Lars-Ove | Springer Verlag | 2022
    Schlagwörter: Gradient index , Gradient Index Profile

    Emergency Obstacle Avoidance Based on Gradient Descent Distance for Self-driving Vehicles

    Yao, Yongqiang / Ma, Nan / Li, Jiahong et al. | Springer Verlag | 2022
    Schlagwörter: Gradient descent

    Data-Driven Robust Control for Railway Driven Independently Rotating Wheelsets Using Deep Deterministic Policy Gradient

    Wei, Juyao / Lu, Zhenggang / Yang, Zhe et al. | Springer Verlag | 2022
    Schlagwörter: Deep deterministic policy gradient

    Influence of Conductive Jute Geotextile-Encased Stone Column in Soft Clay

    Pandey, B. K. / Rajesh, S. / Chandra, S. | Springer Verlag | 2022
    Schlagwörter: Voltage gradient

    Learning-Based Predictive-Corrector Reentry Guidance for Hypersonic Vehicles

    Wu, Tiancai / Wang, Honglun / Liu, Yiheng et al. | Springer Verlag | 2022
    Schlagwörter: Deep deterministic policy gradient

    An Improved Neural-Network-Based Deterministic Policy Gradient Algorithm for Nonlinear Systems

    Gai, Wendong / Jiang, Huimin / Zhang, Jing et al. | Springer Verlag | 2022
    Schlagwörter: Deterministic policy gradient

    Research on SINS/GNSS/CNS/Pressure Altimeter Federated Filtering Adaptive Fault Tolerance Method

    Liu, Xin-xian / Zhao, Xiu-bin / Pang, Chun-lei | Springer Verlag | 2022
    Schlagwörter: Gradient descent

    Finite Element Solution of a Solder Filling Problem with Contact Angle Condition

    Suzuki, Atsushi / Ogawa, Hiroshi | Springer Verlag | 2022
    Schlagwörter: Gradient flow solver

    Research on Spatial Target Positioning Method Based on Array Rotating Magnetic Beacon

    Run, Wang / Bingfeng, Yang / Zhen, Zhao et al. | Springer Verlag | 2021
    Schlagwörter: Magnetic field gradient tensor

    A Deep Reinforcement Learning Strategy for UAV Path Following Control Under Sensor Fault

    Zhang, Yintao / Zhang, Youmin / Yu, Ziquan | Springer Verlag | 2021
    Schlagwörter: Gradient policy

    Intelligent Decision-Making of MAV/UAV in Air Combat Based on DDPG Algorithm

    Li, Yue / Han, Wei / Zhong, Weiguo et al. | Springer Verlag | 2021
    Schlagwörter: Deep deterministic policy gradient

    Optimization Under Uncertainty of Shock Control Bumps for Transonic Wings

    Sabater, Christian | Springer Verlag | 2021
    Schlagwörter: Gradient-based optimization under uncertainty