Research Publications in journals:
Koniocortex-like network unsupervised learning surpasses supervised results on WBCD breast cancer database
Year:2017
Research Areas
- Engineering
Information
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Abstract
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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 | |
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International
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JCR
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Title
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Lecture Notes in Computer Science |
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ISBN
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0302-9743 |
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Impact factor JCR
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0,402 |
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Impact info
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Volume
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10338 |
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10.1007/978-3-319-59773-7_4 |
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Journal number
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II |
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From page
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32 |
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To page
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41 |
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Month
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SIN MES |
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Ranking
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Open Access publication
Participants
- Autor: Juan Fombellida Vetas UPM
- Autor: Diego Andina De la Fuente UPM
- Autor: Francisco J Ropero-Peláez Universidade Federal do ABC, Santo André, Brazil
Research Group, Departaments and Institutes related
- Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
- Departamento: Señales, Sistemas y Radiocomunicaciones