FUZZY GRAPHS IN FUZZY NEURAL NETWORKS

dc.creatorSameena,K
dc.creatorS. Sunitha,M
dc.date2009-12-01
dc.date.accessioned2017-03-07T16:20:49Z
dc.date.available2017-03-07T16:20:49Z
dc.identifierhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172009000300005
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/399995
dc.descriptionIn 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.
dc.formattext/html
dc.languageen
dc.publisherUniversidad Católica del Norte, Departamento de Matemáticas
dc.sourceProyecciones (Antofagasta) v.28 n.3 2009
dc.subjectFuzzy graph
dc.subjectstrongest path
dc.subjectfuzzy neuron
dc.subjectOR fuzzy neuron
dc.titleFUZZY GRAPHS IN FUZZY NEURAL NETWORKS
dc.typeArtículos de revistas


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