A New Unsupervised Neural Approach to Stationary and Non-Stationary Data
- DOI
- 10.1007/978-3-030-51870-7_7
- Published
- 2021
- Container
- Intelligent Systems Reference Library
- Publisher
- Not recorded
- Open access
- no
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-51870-7_7,
title = {A New Unsupervised Neural Approach to Stationary and Non-Stationary Data},
author = {V. Randazzo and G. Cirrincione and E. Pasero},
year = {2021},
journal = {Intelligent Systems Reference Library},
doi = {10.1007/978-3-030-51870-7_7},
url = {https://doi.org/10.1007/978-3-030-51870-7_7}
}RIS
TY - JOUR TI - A New Unsupervised Neural Approach to Stationary and Non-Stationary Data AU - V. Randazzo AU - G. Cirrincione AU - E. Pasero PY - 2021 JO - Intelligent Systems Reference Library DO - 10.1007/978-3-030-51870-7_7 UR - https://doi.org/10.1007/978-3-030-51870-7_7 ER -
APA
Randazzo, V., Cirrincione, G., & Pasero, E. (2021). A New Unsupervised Neural Approach to Stationary and Non-Stationary Data. Intelligent Systems Reference Library. https://doi.org/10.1007/978-3-030-51870-7_7
Source records
- hal · retrieved 2026-09-25T03:29:14.075Z