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Mean field theory of fluid neural networks
dc.contributor.author | Delgado Pin, Jordi |
dc.contributor.author | Solé, Ricard Vicenç |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2016-11-11T10:51:32Z |
dc.date.available | 2016-11-11T10:51:32Z |
dc.date.issued | 1997-06 |
dc.identifier.citation | Delgado, J., Solé, R. V. "Mean field theory of fluid neural networks". 1997. |
dc.identifier.uri | http://hdl.handle.net/2117/96532 |
dc.description.abstract | Fluid 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.extent | 21 p. |
dc.language.iso | eng |
dc.relation.ispartofseries | LSI-97-27-R |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject.other | Fluid neural networks |
dc.subject.other | FNN |
dc.title | Mean field theory of fluid neural networks |
dc.type | External research report |
dc.rights.access | Open Access |
local.identifier.drac | 1893893 |
dc.description.version | Postprint (published version) |
local.citation.author | Delgado, J.; Solé, R. V. |
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