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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.
Title: | Koniocortex-like network unsupervised learning surpasses supervised results on WBCD breast cancer database |
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Author/s: |
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Item Type: | Article |
Título de Revista/Publicación: | Lecture Notes in Computer Science |
Date: | 2017 |
ISSN: | 0302-9743 |
Volume: | 10338 |
Subjects: | |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Otro |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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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
Item ID: | 50146 |
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DC Identifier: | https://oa.upm.es/50146/ |
OAI Identifier: | oai:oa.upm.es:50146 |
DOI: | 10.1007/978-3-319-59773-7_4 |
Official URL: | https://link.springer.com/chapter/10.1007/978-3-31... |
Deposited by: | Memoria Investigacion |
Deposited on: | 12 Apr 2018 11:10 |
Last Modified: | 28 Feb 2023 18:58 |