Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2026
|
| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.19499290 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866902338664398848 |
|---|---|
| author | França, Daniel |
| author_facet | França, Daniel |
| contents | Python library for high-dimensional Takagi-Sugeno-Kang (TSK) fuzzy inference systems, built on PyTorch with a scikit-learn compatible API. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19499290 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | highFIS França, Daniel fuzzy Machine Learning High-dimensional problems Takagi-Sugeno-Kang Fuzzy systems Python library for high-dimensional Takagi-Sugeno-Kang (TSK) fuzzy inference systems, built on PyTorch with a scikit-learn compatible API. |
| title | highFIS |
| topic | fuzzy Machine Learning High-dimensional problems Takagi-Sugeno-Kang Fuzzy systems |
| url | https://doi.org/10.5281/zenodo.19499290 |