| dc.creator | Kalathodi, Sameena | |
| dc.creator | Sunitha, M. S. | |
| dc.date | 2009-12-01 | |
| dc.date.accessioned | 2019-11-14T11:59:31Z | |
| dc.date.available | 2019-11-14T11:59:31Z | |
| dc.identifier | https://www.revistaproyecciones.cl/article/view/1366 | |
| dc.identifier | 10.4067/S0716-09172009000300005 | |
| dc.identifier.uri | https://revistaschilenas.uchile.cl/handle/2250/113122 | |
| 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-ES |
| dc.format | application/pdf | |
| dc.language | spa | |
| dc.publisher | Universidad Católica del Norte. | es-ES |
| dc.relation | https://www.revistaproyecciones.cl/article/view/1366/1172 | |
| dc.rights | Derechos de autor 2009 Proyecciones. Journal of Mathematics | es-ES |
| dc.source | Proyecciones. Journal of Mathematics; Vol 28 No 3 (2009); 239-252 | en-US |
| dc.source | Proyecciones. Revista de Matemática; Vol. 28 Núm. 3 (2009); 239-252 | es-ES |
| dc.source | 0717-6279 | |
| dc.source | 0716-0917 | |
| dc.subject | Fuzzy graph | es-ES |
| dc.subject | Strongest path | es-ES |
| dc.subject | Fuzzy neuron | es-ES |
| dc.subject | OR fuzzy neuron. | es-ES |
| dc.title | Fuzzy graphs in fuzzy neural networks | es-ES |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | Artículo revisado por pares | es-ES |
