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dc.creator | Romeo Val, August | |
dc.date | 2011-07-07T12:50:25Z | |
dc.date | 2011-07-07T12:50:25Z | |
dc.date | 1993 | |
dc.date.accessioned | 2024-12-16T10:27:17Z | |
dc.date.available | 2024-12-16T10:27:17Z | |
dc.identifier | 1063-651X | |
dc.identifier | http://hdl.handle.net/2445/18685 | |
dc.identifier | 73475 | |
dc.identifier.uri | http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/22195 | |
dc.description | Stochastic learning processes for a specific feature detector are studied. This technique is applied to nonsmooth multilayer neural networks requested to perform a discrimination task of order 3 based on the ssT-block¿ssC-block problem. Our system proves to be capable of achieving perfect generalization, after presenting finite numbers of examples, by undergoing a phase transition. The corresponding annealed theory, which involves the Ising model under external field, shows good agreement with Monte Carlo simulations. | |
dc.format | 10 p. | |
dc.format | application/pdf | |
dc.language | eng | |
dc.publisher | The American Physical Society | |
dc.relation | Reproducció del document publicat a: http://dx.doi.org/10.1103/PhysRevE.47.2162 | |
dc.relation | Physical Review E, 1993, vol. 47, núm. 3, p. 2162-2171 | |
dc.relation | http://dx.doi.org/10.1103/PhysRevE.47.2162 | |
dc.rights | (c) The American Physical Society, 1993 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.source | Articles publicats en revistes (Cognició, Desenvolupament i Psicologia de l'Educació) | |
dc.subject | Física estadística | |
dc.subject | Processos estocàstics | |
dc.subject | Biofísica | |
dc.subject | Statistical physics | |
dc.subject | Stochastic processes | |
dc.subject | Biophysics | |
dc.title | Generalization transitions in Hidden-Layer neural networks for third-order feature discrimination | |
dc.type | info:eu-repo/semantics/article | |
dc.type | info:eu-repo/semantics/publishedVersion |
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