Fuzzy graphs in fuzzy neural networks

dc.creator	Kalathodi, Sameena	es
dc.creator	Sunitha, M. S.	es
dc.date	2025-04-15
dc.date.accessioned	2025-10-06T15:05:05Z
dc.date.available	2025-10-06T15:05:05Z
dc.identifier	https://www.revistaproyecciones.cl/index.php/proyecciones/article/view/1366
dc.identifier	10.4067/S0716-09172009000300005
dc.identifier.uri	https://revistaschilenas.uchile.cl/handle/2250/255501
dc.description	In this paper we observe that, the fuzzy neural network architecture is isomorphic to the fuzzy graph model and the output of a fuzzy neural network with OR fuzzy neuron is equal to the strength of strongest path between the input layer (particular input neuron/neurons) and the out put layer(particular output neuron). We explain this result through an example, which describes the marketability of text books of kindergarten classes.	es
dc.format	application/pdf
dc.language	spa
dc.publisher	Universidad Católica del Norte.	en
dc.relation	https://www.revistaproyecciones.cl/index.php/proyecciones/article/view/1366/1172
dc.rights	Copyright (c) 2009 Proyecciones. Journal of Mathematics	en
dc.rights	https://creativecommons.org/licenses/by/4.0	en
dc.source	Proyecciones (Antofagasta); Vol. 28 No. 3 (2009); 239-252	en
dc.source	Proyecciones. Revista de Matemática; Vol. 28 Núm. 3 (2009); 239-252	es
dc.source	0717-6279
dc.source	10.22199/issn.0717-6279-2009
dc.title	Fuzzy graphs in fuzzy neural networks	es
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion