Flagged and Compact Fuzzy ART: Fuzzy ART in more efficient forms

Al-Rawi, Kamal and Gonzalo Martí­n, Consuelo 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.

Descripción

Título: Flagged and Compact Fuzzy ART: Fuzzy ART in more efficient forms
Autor/es:
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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Resumen

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.

Más información

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