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Discontinuities in recurrent neural networks
dc.contributor.author | Gavaldà Mestre, Ricard |
dc.contributor.author | Siegelmann, Hava T |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2016-11-11T11:20:40Z |
dc.date.available | 2016-11-11T11:20:40Z |
dc.date.issued | 1997-03 |
dc.identifier.citation | Gavaldà, R., Siegelmann, H. "Discontinuities in recurrent neural networks". 1997. |
dc.identifier.uri | http://hdl.handle.net/2117/96537 |
dc.description.abstract | This paper studies the computational power of various discontinuous real computational models that are based on the classical analog recurrent neural network (ARNN). This ARNN consists of finite number of neurons; each neuron computes a polynomial net-function and a sigmoid-like continuous activation-function. The authors introduce |
dc.format.extent | 26 p. |
dc.language.iso | eng |
dc.relation.ispartofseries | LSI-97-15-R |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica |
dc.subject.other | Analog recurrent neural network |
dc.subject.other | ARNN |
dc.subject.other | Arithmetic networks |
dc.title | Discontinuities in recurrent neural networks |
dc.type | External research report |
dc.rights.access | Open Access |
local.identifier.drac | 1893816 |
dc.description.version | Postprint (published version) |
local.citation.author | Gavaldà, R.; Siegelmann, H. |
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