Neural transition system abstraction for neural network dynamical system models and its application to Computational Tree Logic verification

Yejiang Yang, Tao Wang, Weiming Xiang

Open source

DOI
10.1016/j.neunet.2025.107261
Published
2025-06
Container
Neural Networks
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.neunet.2025.107261,
  title = {Neural transition system abstraction for neural network dynamical system models and its application to Computational Tree Logic verification},
  author = {Yejiang Yang and Tao Wang and Weiming Xiang},
  year = {2025},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2025.107261},
  url = {https://doi.org/10.1016/j.neunet.2025.107261}
}

RIS

TY  - JOUR
TI  - Neural transition system abstraction for neural network dynamical system models and its application to Computational Tree Logic verification
AU  - Yejiang Yang
AU  - Tao Wang
AU  - Weiming Xiang
PY  - 2025
JO  - Neural Networks
DO  - 10.1016/j.neunet.2025.107261
UR  - https://doi.org/10.1016/j.neunet.2025.107261
ER  - 

APA

Yang, Y., Wang, T., & Xiang, W. (2025). Neural transition system abstraction for neural network dynamical system models and its application to Computational Tree Logic verification. Neural Networks. https://doi.org/10.1016/j.neunet.2025.107261

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