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Descripción
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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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Internacional
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Si |
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Nombre congreso
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IWINAC 2017 - International Work-conference on the Interplay between Natural and Artificial Computation |
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Tipo de participación
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960 |
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Lugar del congreso
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Coruña, Spain. |
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Revisores
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Si |
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ISBN o ISSN
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978-3-319-59772-0 |
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DOI
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Fecha inicio congreso
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19/06/2017 |
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Fecha fin congreso
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23/06/2017 |
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Desde la página
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32 |
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Hasta la página
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41 |
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Título de las actas
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Biomedical Applications Based on Natural and Artificial Computing: International Work-Conference on the Interplay Between Natural and Artificial Computation, Proceedings, Part II. |