Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Tackling business intelligence with bioinspired deep learning
Year:2018
Research Areas
  • Artificial intelligence (neuronal nets, expert systems, etc),
  • Engineering,
  • Business economics
Information
Abstract
To tackle the complex problem of providing business intelligence solutions based on business data, bioinspired deep learning has to be considered. This paper focuses on the application of artificial metaplasticity learning in business intelligence systems as an alternative paradigm of achieving a deeper information extraction and learning from arbitrary size data sets. As a case study, artificial metaplasticity multilayer perceptron applied to the automation of credit approval decision based on collected client data is analyzed, showing its potential and improvements over the state-of-the-art techniques. This paper successfully introduces the relevant novelty that the artificial neural network itself estimates the pdf of the input data to be used in the metaplasticity learning, so it is much closer to the biologic reality than previous implementations of artificial metaplasticity.
International
Si
JCR
Si
Title
Neural Computing & Applications
ISBN
0941-0643
Impact factor JCR
4,213
Impact info
Volume
29
10.1007/s00521-018-3377-5
Journal number
4
From page
1
To page
8
Month
FEBRERO
Ranking
Participants
  • Autor: Juan Fombellida Vetas (UPM)
  • Autor: Irene Martin Rubio (UPM)
  • Autor: Santiago Torres Alegre (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: Ingeniería de Organización, Administración de Empresas y Estadística
  • Departamento: Señales, Sistemas y Radiocomunicaciones
S2i 2020 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)