FUZZY GRAPHS IN FUZZY NEURAL NETWORKS

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(particu...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Sameena,K, S. Sunitha,M
Lenguaje:English
Publicado: Universidad Católica del Norte, Departamento de Matemáticas 2009
Materias:
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172009000300005
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:scielo:S0716-09172009000300005
record_format dspace
spelling oai:scielo:S0716-091720090003000052010-04-08FUZZY GRAPHS IN FUZZY NEURAL NETWORKSSameena,KS. Sunitha,M Fuzzy graph strongest path fuzzy neuron OR fuzzy neuron 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.info:eu-repo/semantics/openAccessUniversidad Católica del Norte, Departamento de MatemáticasProyecciones (Antofagasta) v.28 n.3 20092009-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172009000300005en10.4067/S0716-09172009000300005
institution Scielo Chile
collection Scielo Chile
language English
topic Fuzzy graph
strongest path
fuzzy neuron
OR fuzzy neuron
spellingShingle Fuzzy graph
strongest path
fuzzy neuron
OR fuzzy neuron
Sameena,K
S. Sunitha,M
FUZZY GRAPHS IN FUZZY NEURAL NETWORKS
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.
author Sameena,K
S. Sunitha,M
author_facet Sameena,K
S. Sunitha,M
author_sort Sameena,K
title FUZZY GRAPHS IN FUZZY NEURAL NETWORKS
title_short FUZZY GRAPHS IN FUZZY NEURAL NETWORKS
title_full FUZZY GRAPHS IN FUZZY NEURAL NETWORKS
title_fullStr FUZZY GRAPHS IN FUZZY NEURAL NETWORKS
title_full_unstemmed FUZZY GRAPHS IN FUZZY NEURAL NETWORKS
title_sort fuzzy graphs in fuzzy neural networks
publisher Universidad Católica del Norte, Departamento de Matemáticas
publishDate 2009
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172009000300005
work_keys_str_mv AT sameenak fuzzygraphsinfuzzyneuralnetworks
AT ssunitham fuzzygraphsinfuzzyneuralnetworks
_version_ 1718439765480570880