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Interval Methods for Seeking Fixed Points of Recurrent Neural Networks
The paper describes an application of interval methods to train recurrent neural networks and investigate their behavior. The HIBA_USNE multithreaded interval solver for nonlinear systems and algorithmic differentiation using ADHC are used. Using interval methods, we can not only train the network,...
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| Publicat a: | Computational Science – ICCS 2020 |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7304055/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50420-5_30 |
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