Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Koniocortex-like network unsupervised learning surpasses supervised results on WBCD breast cancer database.
Year:2017
Research Areas
  • Engineering
Information
Abstract
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
International
Si
Congress
IWINAC 2017 - International Work-conference on the Interplay between Natural and Artificial Computation
960
Place
Coruña, Spain.
Reviewers
Si
ISBN/ISSN
978-3-319-59772-0
Start Date
19/06/2017
End Date
23/06/2017
From page
32
To page
41
Biomedical Applications Based on Natural and Artificial Computing: International Work-Conference on the Interplay Between Natural and Artificial Computation, Proceedings, Part II.
Participants
  • Autor: Juan Fombellida Vetas (UPM)
  • Autor: Diego Andina De la Fuente (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)