Data-Driven Fuzzy Modeling Using Restricted Boltzmann Machines and Probability Theory

Erick de la Rosa, Wen Yu

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DOI: 10.1109/tsmc.2018.2812156
Published: 2020-07
Container: IEEE Transactions on Systems, Man, and Cybernetics: Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tsmc.2018.2812156,
  title = {Data-Driven Fuzzy Modeling Using Restricted Boltzmann Machines and Probability Theory},
  author = {Erick de la Rosa and Wen Yu},
  year = {2020},
  journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},
  doi = {10.1109/tsmc.2018.2812156},
  url = {https://doi.org/10.1109/tsmc.2018.2812156}
}

RIS

TY  - JOUR
TI  - Data-Driven Fuzzy Modeling Using Restricted Boltzmann Machines and Probability Theory
AU  - Erick de la Rosa
AU  - Wen Yu
PY  - 2020
JO  - IEEE Transactions on Systems, Man, and Cybernetics: Systems
DO  - 10.1109/tsmc.2018.2812156
UR  - https://doi.org/10.1109/tsmc.2018.2812156
ER  -

APA

Rosa, E. D. L., & Yu, W. (2020). Data-Driven Fuzzy Modeling Using Restricted Boltzmann Machines and Probability Theory. IEEE Transactions on Systems, Man, and Cybernetics: Systems. https://doi.org/10.1109/tsmc.2018.2812156

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crossref · retrieved 2026-11-10T08:10:49.597Z