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The Recollection Characteristics of Generalized MCNN Using Different Control Methods

Kuremoto et al. proposed a multi-layer chaotic neural network (MCNN) combined multiple Adachi et al.'s CNNs to realize mutual auto-association of plural time series patterns. However, the MCNN was limited in a two-layer model. In this paper, we extend the MCNN to be a general form (GMCNN) with...

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Principais autores: Shun Watanabe, Takashi Kuremoto, Shingo Mabu, Masanao Obayashi, Kunikazu Kobayashi
Formato: Artigo
Idioma:Inglês
Publicado em: Atlantis Press 2014-06-01
coleção:Journal of Robotics, Networking and Artificial Life (JRNAL)
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Acesso em linha:https://www.atlantis-press.com/article/13187.pdf
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