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dc.contributor.authorDelgado Pin, Jordi
dc.contributor.authorSolé, Ricard Vicenç
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2016-11-11T10:51:32Z
dc.date.available2016-11-11T10:51:32Z
dc.date.issued1997-06
dc.identifier.citationDelgado, J., Solé, R. V. "Mean field theory of fluid neural networks". 1997.
dc.identifier.urihttp://hdl.handle.net/2117/96532
dc.description.abstractFluid Neural Networks (FNN) are a mathematical framework where the phenomenon of self-synchronization in ant colonies can be explained, predicting the model a critical density, i.e. a density where oscillations appear, observed in real ant colonies. However, up to now all results have been solely numerical. In this paper we put forward a simpler FNN with the same phenomenology as the original one, but an analytical approximation can be performed in such a way that critical densities can be computed, offering a good approximation to the numerical ones.
dc.format.extent21 p.
dc.language.isoeng
dc.relation.ispartofseriesLSI-97-27-R
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.otherFluid neural networks
dc.subject.otherFNN
dc.titleMean field theory of fluid neural networks
dc.typeExternal research report
dc.rights.accessOpen Access
local.identifier.drac1893893
dc.description.versionPostprint (published version)
local.citation.authorDelgado, J.; Solé, R. V.


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