Period-two cycles in a feedforward layered neutral network model with symmetric sequence processing
dc.contributor.author | Metz, Fernando Lucas | pt_BR |
dc.contributor.author | Theumann, Walter Karl | pt_BR |
dc.date.accessioned | 2014-08-22T02:11:09Z | pt_BR |
dc.date.issued | 2007 | pt_BR |
dc.identifier.issn | 1539-3755 | pt_BR |
dc.identifier.uri | http://hdl.handle.net/10183/101623 | pt_BR |
dc.description.abstract | The effects of dominant sequential interactions are investigated in an exactly solvable feedforward layered neural network model of binary units and patterns near saturation in which the interaction consists of a Hebbian part and a symmetric sequential term. Phase diagrams of stationary states are obtained and a phase of cyclic correlated states of period two is found for a weak Hebbian term, independently of the number of condensed patterns c. | en |
dc.format.mimetype | application/pdf | pt_BR |
dc.language.iso | eng | pt_BR |
dc.relation.ispartof | Physical review. E, Statistical, nonlinear, and soft matter physics. Vol. 75, no. 4 (Apr. 2007), 041907, 7 p. | pt_BR |
dc.rights | Open Access | en |
dc.subject | Redes neurais | pt_BR |
dc.title | Period-two cycles in a feedforward layered neutral network model with symmetric sequence processing | pt_BR |
dc.type | Artigo de periódico | pt_BR |
dc.identifier.nrb | 000604046 | pt_BR |
dc.type.origin | Estrangeiro | pt_BR |
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