Training algorithm design and weight convergence analysis for discrete-time recurrent neural networks
Recurrent neural networks (RNNs) have become an important study subject in the field of neural networks due to the remarkable developments in both theoretical research and practical applications. RNNs contain feedback loops in the structures which make them much more powerful in dynamical modeling o...
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| Formato: | Thesis |
| Idioma: | English |
| Publicado em: |
2013
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| Acesso em linha: | https://hdl.handle.net/10356/53454 |