A Spatiotemporal Fuzzy Modeling Approach Combining Automatic Clustering and Hierarchical Extreme Learning Machines for Distributed Parameter Systems
- DOI
- 10.3390/math13030364
- Published
- 2025-01-23
- Container
- Mathematics
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/math13030364,
title = {A Spatiotemporal Fuzzy Modeling Approach Combining Automatic Clustering and Hierarchical Extreme Learning Machines for Distributed Parameter Systems},
author = {Gang Zhou and Xianxia Zhang and Tangchen Wang and Bing Wang},
year = {2025},
journal = {Mathematics},
doi = {10.3390/math13030364},
url = {https://doi.org/10.3390/math13030364}
}RIS
TY - JOUR TI - A Spatiotemporal Fuzzy Modeling Approach Combining Automatic Clustering and Hierarchical Extreme Learning Machines for Distributed Parameter Systems AU - Gang Zhou AU - Xianxia Zhang AU - Tangchen Wang AU - Bing Wang PY - 2025 JO - Mathematics DO - 10.3390/math13030364 UR - https://doi.org/10.3390/math13030364 ER -
APA
Zhou, G., Zhang, X., Wang, T., & Wang, B. (2025). A Spatiotemporal Fuzzy Modeling Approach Combining Automatic Clustering and Hierarchical Extreme Learning Machines for Distributed Parameter Systems. Mathematics. https://doi.org/10.3390/math13030364
Source records
- crossref · retrieved 2026-09-24T22:31:28.483Z