Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
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
JCR
Si
Title
Lecture Notes in Computer Science
ISBN
0302-9743
Impact factor JCR
0,402
Impact info
Volume
10338
10.1007/978-3-319-59773-7_4
Journal number
II
From page
32
To page
41
Month
SIN MES
Ranking
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
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)