| Title of paper:
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Generalized net model of recurrent neural network
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| Author(s):
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| Sotir Sotirov
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| “Prof. Asen Zlatarov” University, Bourgas 8010, Bulgaria
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| ssotirov@btu.bg
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| Maciej Krawczak
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| 2Systems Research Institute – Polish Academy of Sciences, Wyzsza Szkola Informatyki Stosowanej I Zarzadzania, Warsaw, Poland
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| krawczak@ibspan.waw.pl
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| Presented at:
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11th IWGN, Sofia, 5 December 2010
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| Published in:
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Conference proceedings, pages 14—20
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| Download:
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 PDF (178 Kb, File info)
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| Abstract:
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The proposed GN model present work of the recurrent neural network. Instead of other types neural network now we are describing the process during the time. In a series of paper we describe many different neural networks. This paper describes a different part from the neural networks – this is a network with feed back into the hidden layer.
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| Keywords:
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Neural Networks, Recurrent Neural Networks, Generalized Nets.
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| References:
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| Citations:
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