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ORCID: https://orcid.org/0000-0002-0804-9293
(2010).
Flagged and Compact Fuzzy ART: Fuzzy ART in more efficient forms.
"The International Journal of ACM Jordan", v. 1
(n. 3);
pp. 98-117.
ISSN 2078-7952.
| Título: | Flagged and Compact Fuzzy ART: Fuzzy ART in more efficient forms |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | The International Journal of ACM Jordan |
| Fecha: | Enero 2010 |
| ISSN: | 2078-7952 |
| Volumen: | 1 |
| Número: | 3 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Compact fuzzy ART, Flagged fuzzy ART, ART ANN, Unsupervised ART, and Unsupervised learning |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Arquitectura y Tecnología de Sistemas Informáticos |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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Two new simplified algorithms for Fuzzy ART have been developed. Onlycommitted category nodes C rather than the full capacity of the category nodes N (N mayor que C) are involved in the determination of the winning categoy node. In addition tothat, the initialization for weights and choice values has been eliminated. This reduces a lot the training time without altering the categorazation accuracy.Although, the new architectures are presented toward the fuzzy ART ANN in this work. However, they can be applied to all module of ART.
| ID de Registro: | 7260 |
|---|---|
| Identificador DC: | https://oa.upm.es/7260/ |
| Identificador OAI: | oai:oa.upm.es:7260 |
| URL Oficial: | http://iswsa2010.acm.org/ |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 13 Jun 2011 09:26 |
| Ultima Modificación: | 17 Jun 2025 08:27 |
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