Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
The Optimal combination: Grammatical Swarm, Particle Swarm Optimization and Neural Networks.
Year:2012
Research Areas
  • Artificial intelligence
Information
Abstract
Social behaviour is mainly based on swarm colonies, in which each individual shares its knowledge about the environment with other individuals to get optimal solutions. Such co-operative model differs from competitive models in the way that individuals die and are born by combining information of alive ones. This paper presents the particle swarm optimization with differential evolution algorithm in order to train a neural network instead the classic back propagation algorithm. The performance of a neural network for particular problems is critically dependant on the choice of the processing elements, the net architecture and the learning algorithm. This work is focused in the development of methods for the evolutionary design of artificial neural networks. This paper focuses in optimizing the topology and structure of connectivity for these networks.
International
Si
JCR
No
Title
Journal of Computational Science
ISBN
1877-7503
Impact factor JCR
0,14
Impact info
Scopus: h-index = 3 / SJR 2011 = 0.146 / Category = Theoretical Computer Science -- Q1 (5/78)
Volume
1
10.1016/j.jocs.2011.12.005
Journal number
2
From page
46
To page
55
Month
SIN MES
Ranking
Q1 en scopus
Participants
  • Autor: Fernando de Mingo Lopez (UPM)
  • Autor: Nuria Gomez Blas (UPM)
  • Autor: Alberto Arteta Albert (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Señal Fotónica
  • Grupo de Investigación: Grupo de Computación Natural
  • Departamento: Matemática Aplicada (E.U. Informática)
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)