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Koniocortex-like network unsupervised learning surpasses supervised results on WBCD breast cancer database
Cita
Fombellida Vetas, Juan, Andina de la Fuente, Diego 
ORCID: https://orcid.org/0000-0001-7036-2646 and Ropero-peláez, Francisco
(2017).
Koniocortex-like network unsupervised learning surpasses supervised results on WBCD breast cancer database.
"Lecture Notes in Computer Science", v. 10338
(n. II);
pp. 32-41.
ISSN 0302-9743.
https://doi.org/10.1007/978-3-319-59773-7_4.
ORCID: https://orcid.org/0000-0001-7036-2646 and Ropero-peláez, Francisco
(2017).
Koniocortex-like network unsupervised learning surpasses supervised results on WBCD breast cancer database.
"Lecture Notes in Computer Science", v. 10338
(n. II);
pp. 32-41.
ISSN 0302-9743.
https://doi.org/10.1007/978-3-319-59773-7_4.
Descripción
| Título: | Koniocortex-like network unsupervised learning surpasses supervised results on WBCD breast cancer database |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Lecture Notes in Computer Science |
| Fecha: | 2017 |
| ISSN: | 0302-9743 |
| Volumen: | 10338 |
| Número: | II |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Otro |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
Koniocortex-Like Network is a novel category of Bio-Inspired Neural Networks whose architecture and properties are inspired in the biological koniocortex, the ?rst layer of the cortex that receives information from the thalamus. In the Koniocortex-Like Network competition and pattern classi?cation emerges naturally due to the interplay of inhibitory interneurons, metaplasticity and intrinsic plasticity. Recently proposed, it has shown a big potential for complex tasks with unsupervised learning. Now for the ?rst time, its competitive results are proved in a relevant standard real application that is the objective of state-ofthe-art research: the diagnosis of breast cancer data from the Wisconsin Breast Cancer Database
Más información
| ID de Registro: | 50146 |
|---|---|
| Identificador DC: | https://oa.upm.es/50146/ |
| Identificador OAI: | oai:oa.upm.es:50146 |
| Identificador DOI: | 10.1007/978-3-319-59773-7_4 |
| URL Oficial: | https://link.springer.com/chapter/10.1007/978-3-31... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 12 Abr 2018 11:10 |
| Ultima Modificación: | 28 Feb 2023 18:58 |
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