Discovering Mathematical Expressions Through DeepSymNet: A Classification-Based Symbolic Regression Framework.

Wu M, Li W, Yu L, Sun L, Liu J, Li W

DOI: 10.1109/tnnls.2023.3332400
Published: 2025 Jan
Container: IEEE transactions on neural networks and learning systems
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tnnls.2023.3332400,
  title = {Discovering Mathematical Expressions Through DeepSymNet: A Classification-Based Symbolic Regression Framework.},
  author = {Wu M and Li W and Yu L and Sun L and Liu J and Li W},
  year = {2025},
  journal = {IEEE transactions on neural networks and learning systems},
  doi = {10.1109/tnnls.2023.3332400},
  url = {https://doi.org/10.1109/tnnls.2023.3332400}
}

RIS

TY  - JOUR
TI  - Discovering Mathematical Expressions Through DeepSymNet: A Classification-Based Symbolic Regression Framework.
AU  - Wu M
AU  - Li W
AU  - Yu L
AU  - Sun L
AU  - Liu J
AU  - Li W
PY  - 2025
JO  - IEEE transactions on neural networks and learning systems
DO  - 10.1109/tnnls.2023.3332400
UR  - https://doi.org/10.1109/tnnls.2023.3332400
ER  -

APA

M, W., W, L., L, Y., L, S., J, L., & W, L. (2025). Discovering Mathematical Expressions Through DeepSymNet: A Classification-Based Symbolic Regression Framework.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2023.3332400

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pubmed · retrieved 2026-11-10T12:15:23.538Z