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Fast and Stable Learning of Dynamical Systems Based on Extreme Learning Machine.

, , , , , and . IEEE Trans. Syst. Man Cybern. Syst., 49 (6): 1175-1185 (2019)

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Towards More Comprehensive Listening Behavior: Beyond the Bobble Head., , and . IVA, volume 6895 of Lecture Notes in Computer Science, page 216-227. Springer, (2011)Learning Accurate and Stable Dynamical System Under Manifold Immersion and Submersion., , , and . IEEE Trans. Neural Networks Learn. Syst., 30 (12): 3598-3610 (2019)A Novel Alternative to Traditional $n$ HSLC: An $n$ -Switched-Cell Based Approach to High-Step-up Converters., , , , and . IEEE Access, (2019)Continuous Reinforcement Learning With Knowledge-Inspired Reward Shaping for Autonomous Cavity Filter Tuning., , , and . CBS, page 53-58. IEEE, (2018)Convergence of Graph Neural Networks on Relatively Sparse Graphs., , and . ACSSC, page 566-572. IEEE, (2023)Improved Image Classification with Manifold Neural Networks., , and . CoRR, (2024)Neural learning of stable dynamical systems based on extreme learning machine., , , , and . ICIA, page 306-311. IEEE, (2015)Learn to adapt: Self-optimizing small cell transmit power with correlated bandit learning., , , and . ICC, page 1-6. IEEE, (2017)Continuous reinforcement learning from human demonstrations with integrated experience replay for autonomous driving., , , and . ROBIO, page 2450-2455. IEEE, (2017)Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back., , , , and . ICASSP, page 1-5. IEEE, (2023)