Study of distributed learning as a solution to category proliferation in Fuzzy ARTMAP based neural systems
- Author
- PARRADO-HERNANDEZ, Emilio1 ; GOMEZ-SANCHEZ, Eduardo2 ; DIMITRIADIS, Yannis A2
[1] Departamento de Teoría de la Señal y Comunicaciones, Escuela Politécnica Superior, Universidad Carlos 111 de Madrid, Avda. Universidad, 30, 28911 Leganés, Madrid, Spain
[2] Departamento de Teoría de la Señal y Comunicaciones e Ingeniería Telemática, Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad de Valladolid, Camino del Cementerio S/N, 47011 Valladolid, Spain - Source
Neural networks. 2003, Vol 16, Num 7, pp 1039-1057, 19 p ; ref : 26 ref
- ISSN
- 0893-6080
- Scientific domain
- Electronics; Computer science; Neurology
- Publisher
- Elsevier Science, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Category proliferation Classification Distributed learning FasArt Fuzzy ARTMAP Neuro-fuzzy systems dARTMAP
- Keyword (fr)
- Apprentissage Architecture système Classification Ensemble flou Réseau neuronal Théorie résonance adaptative Traitement réparti
- Keyword (en)
- Learning System architecture Classification Fuzzy set Neural network Adaptive resonance theory Distributed processing
- Keyword (es)
- Aprendizaje Arquitectura sistema Clasificación Conjunto difuso Red neuronal Tratamiento repartido
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 15017839
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/S0893-6080(03)00009-1 
https://dx.doi.org/10.1016/S0893-6080(03)00009-1
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