Canonical ensemble approach to graded-response perceptrons
dc.contributor.author | Bolle, Desire | pt_BR |
dc.contributor.author | Erichsen Junior, Rubem | pt_BR |
dc.date.accessioned | 2014-08-19T02:10:10Z | pt_BR |
dc.date.issued | 1999 | pt_BR |
dc.identifier.issn | 1063-651X | pt_BR |
dc.identifier.uri | http://hdl.handle.net/10183/101308 | pt_BR |
dc.description.abstract | Perceptrons with graded input-output relations and a limited output precision are studied within the Gardner- Derrida canonical ensemble approach. Soft non-negative error measures are introduced allowing for extended retrieval properties. In particular, the performance of these systems for a linear (quadratic) error measure, corresponding to the perceptron (adaline) learning algorithm, is compared with the performance for a rigid error measure, simply counting the number of errors. Replica-symmetry-breaking effects are evaluated, and the analytic results are compared with numerical simulations. [S1063-651X(99)04503-1] | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | pt_BR |
dc.relation.ispartof | Physical Review. E, Statistical Physics, Plasmas, Fluids and Related Interdisciplinary Topics. New York. Vol. 59, no. 3, pt. B (Mar. 1999), p. 3386-3401 | pt_BR |
dc.rights | Open Access | en |
dc.subject | Redes neurais | pt_BR |
dc.subject | Quebra de simetria | pt_BR |
dc.subject | Dinamica de rede | pt_BR |
dc.subject | Simulação | pt_BR |
dc.title | Canonical ensemble approach to graded-response perceptrons | pt_BR |
dc.type | Artigo de periódico | pt_BR |
dc.identifier.nrb | 000055633 | pt_BR |
dc.type.origin | Estrangeiro | pt_BR |
Files in this item
This item is licensed under a Creative Commons License
-
Journal Articles (39951)Exact and Earth Sciences (6085)