The expressive power of analog recurrent neural networks on infinite input streams
- DOI
- 10.1016/j.tcs.2012.01.042
- Published
- 2012-06
- Container
- Theoretical Computer Science
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.tcs.2012.01.042,
title = {The expressive power of analog recurrent neural networks on infinite input streams},
author = {Jérémie Cabessa and Alessandro E.P. Villa},
year = {2012},
journal = {Theoretical Computer Science},
doi = {10.1016/j.tcs.2012.01.042},
url = {https://doi.org/10.1016/j.tcs.2012.01.042}
}RIS
TY - JOUR TI - The expressive power of analog recurrent neural networks on infinite input streams AU - Jérémie Cabessa AU - Alessandro E.P. Villa PY - 2012 JO - Theoretical Computer Science DO - 10.1016/j.tcs.2012.01.042 UR - https://doi.org/10.1016/j.tcs.2012.01.042 ER -
APA
Cabessa, J., & Villa, A. E. (2012). The expressive power of analog recurrent neural networks on infinite input streams. Theoretical Computer Science. https://doi.org/10.1016/j.tcs.2012.01.042
Source records
- crossref · retrieved 2026-11-10T06:53:31.980Z