Self-Organizing Map Formation with a Selectively Refractory Neighborhood
- Author
- NEME, Antonio1 ; MIRAMONTES, Pedro2 3
[1] Institute for Molecular Medicine Finland (FIMM), Tukholmantaku 8, Helsinki, Finland
[2] Faculty of Sciences, Universidad Nacional Autónoma de México, Mexico City 04510, DF, Mexico
[3] Centre for Complexity Sciences, Universidad Nacional Autonoma de México, Mexico City 04510. DF, Mexico - Source
Neural processing letters. 2014, Vol 39, Num 1, pp 1-24, 24 p ; ref : 35 ref
- ISSN
- 1370-4621
- Scientific domain
- Cognition; Computer science
- Publisher
- Springer, Dordrecht
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Asymmetric neighborhood Map formation Self-organizing maps
- Keyword (fr)
- Ajustement modèle Algorithme Kohonen Asymétrie Autoorganisation Base de données multidimensionnelle Carte topographique Discontinuité Distance Estimation erreur Modélisation Réseau neuronal
- Keyword (en)
- Model matching Kohonen algorithm Asymmetry Self organization Multidimensional database Topographic map Discontinuity Distance Error estimation Modeling Neural network
- Keyword (es)
- Ajustamiento modelo Algoritmo Kohonen Asimetría Autoorganización Base dato multidimensional Plano topográfico Discontinuidad Distancia Estimación error Modelización Red neuronal
- 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
- 28068183
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
10.1007/s11063-013-9287-8 
https://dx.doi.org/10.1007/s11063-013-9287-8
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