Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Evolutionary construction and adaptation of intelligent systems
Year:2010
Research Areas
  • Information technology and adata processing
Information
Abstract
This paper introduces evolutionary techniques for automatically constructing intelligent self-adapting systems, capable of modifying their inner structure in order to learn from experience and self-adapt to a changing environment. These evolutionary techniques comprise an evolutionary system that is engineered by grammar-guided genetic programming, enabling the development of sub-symbolic and symbolic intelligent systems: artificial neural networks and knowledge-based systems, respectively. A context-free-grammar based codification system for artificial neural networks and rules, an initialization method and a crossover operator have been designed to properly balance the exploration and exploitation capabilities of the proposed system. This speeds up the convergence process and avoids trapping in local optima. This system has been applied to a medical domain: the detection of knee injuries from the analysis of isokinetic time series. The results of the evolved symbolic and sub-symbolic intelligent systems have been statistically compared with each other as part of a quantitative and qualitative performance analysis.
International
Si
JCR
Si
Title
EXPERT SYSTEMS WITH APPLICATIONS
ISBN
0957-4174
Impact factor JCR
2,908
Impact info
Volume
37
Journal number
From page
7711
To page
7720
Month
DICIEMBRE
Ranking
Participants
  • Autor: Daniel Manrique Gamo (UPM)
  • Autor: José María Font Fernández (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
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)