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Supervised learning with complex-valued neural networks
Recent advancements in the field of telecommunications, medical imaging and signal processing deal with signals that are inherently time varying, nonlinear and complex-valued. The time varying, nonlinear characteristics of these signals can be effectively analyzed using artificial neural networks. ...
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| Hauptverfasser: | , , |
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| Format: | Livro |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer Berlin Heidelberg,
2013
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| Schriftenreihe: | Studies in computational intelligence, |
| Schlagworte: | |
| Online Zugang: | https://minerva.ufrj.br/F/?func=direct&doc_number=000919317&local_base=UFR01 |
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