Memorias de investigación
Communications at congresses:
Koniocortex-Like Network Application to Business Intelligence
Year:2018
Research Areas
  • Artificial intelligence (neuronal nets, expert systems, etc),
  • Engineering,
  • Bioelectronic
Information
Abstract
Koniocortex-Like Network model is a Bio-Inspired Neural Network structure that tries to replicate the architecture and properties of the biological koniocortex section of the brain. The structure is composed by different kinds of artificial neurons that interplay between them to create a competitive model that can be used to classify patterns. The classification performance obtained is based on different properties like lateral inhibition, metaplasticity and intrinsic plasticity, that allows a natural evolution of the network until obtaining the desired results. This kind of network has been applied to synthetic and real data showing big potential, now the network capabilities are tested using other state-of-the-art real data application: the classification of credit data from the Australian Credit Approval Database.
International
Si
Congress
2018 World Automation Congress (WAC)
960
Place
Stevenson, WA, USA
Reviewers
Si
ISBN/ISSN
978-1-5323-7791-4
10.23919/WAC.2018.8430298
Start Date
03/06/2018
End Date
06/06/2018
From page
205
To page
210
2018 World Automation Congress (WAC)
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones