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A precise method for RBMs training using phased curricula., , , , и . Multim. Tools Appl., 82 (6): 8013-8047 (марта 2023)Bioinspired cooperative control method of a pursuer group vs. a faster evader in a limited area., , , и . Appl. Intell., 53 (6): 6736-6752 (марта 2023)Feature Analysis Network: An Interpretable Idea in Deep Learning., , , , , и . Cogn. Comput., 16 (3): 803-826 (мая 2024)Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments., , , , и . CoRR, (2022)Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments., , , , и . IEEE Trans. Veh. Technol., 72 (11): 13985-14001 (ноября 2023)Generative and discriminative infinite restricted Boltzmann machine training., , , и . Int. J. Intell. Syst., 37 (10): 7857-7887 (2022)Review of marine current speed and power coefficient - Mathematical models., , , , , , и . MECO, стр. 427-431. IEEE, (2015)Deep Reinforcement Learning Approach with Multiple Experience Pools for UAV's Autonomous Motion Planning in Complex Unknown Environments., , , , и . Sensors, 20 (7): 1890 (2020)