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A Transition System Abstraction Framework for Neural ...
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由 Y Yang 著作2024 — This paper proposes a transition system abstraction framework for neural network dynamical system models to enhance the model interpretability, ...
有關 A Transition System Abstraction Framework for Neural Network Dynamical System Models. 的學術文章 | |
… neural network based models for simulating dynamical … - Legaard - 90 個引述 Neural abstractions - Abate - 10 個引述 Recurrent neural networks are universal approximators - Schäfer - 430 個引述 | |
A Transition System Abstraction Framework for Neural Network ...
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This paper proposes a transition system abstraction framework for neural network dynamical system models to enhance the model interpretability, ...
A Transition System Abstraction Framework for Neural ...
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由 Y Yang 著作2024 — Abstract—This paper proposes a transition system abstrac- tion framework for neural network dynamical system models to enhance the model interpretability, ...
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A Transition System Abstraction Framework for Neural ...
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2024年9月8日 — We present a data-driven modeling strategy to overcome improperly modeled dynamics for systems exhibiting complex spatio-temporal behaviors. We ...
yejiang yang
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A Transition System Abstraction Framework for Neural Network Dynamical System Models. Y Yang, Z Mo, HD Tran, W Xiang. arXiv preprint arXiv:2402.11739, 2024.
A Transition System Abstraction Framework for Neural Network ... - dblp
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Bibliographic details on A Transition System Abstraction Framework for Neural Network Dynamical System Models.
Efficient Neural Hybrid System Learning and Transition ...
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2024年11月20日 — This paper proposes a neural network hybrid modeling framework for dynamics learning to promote an interpretable, computationally efficient ...
Data-Driven Dual-level Neural Network Tool for Dynamical ...
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由 Y Yang 著作2024 — This paper presents D3NN, a neural network learning tool for dual-level dynamic system modeling. This tool aims to model the dynamic system under a ...
Efficient Neural Hybrid System Learning and Interpretable ...
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2024年10月3日 — Abstract. This article proposes a neural network hybrid modeling framework for dynamics learning to promote an interpretable, computationally ...
Modeling Dynamical Systems with Neural Hybrid ...
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由 Y Yang 著作2023被引用 3 次 — In this paper, a data-driven neural hybrid system modeling framework via the Maximum Entropy partitioning approach is proposed for complex dynamical system ...