Neural transition system abstraction for neural network dynamical system models and its application to Computational Tree Logic verification
- DOI
- 10.1016/j.neunet.2025.107261
- Published
- 2025-06
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
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
Source records
- crossref · retrieved 2026-09-25T13:17:47.365Z