Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Particle swarm optimization models applied to neural networks using the R language
Year:2010
Research Areas
  • Information technology and adata processing
Information
Abstract
There exists a clear difference between cooperative and competitive strategies. The former ones are based on the swarm colonies, in which all individuals share its knowledge about the goal in order to pass such information to other individuals to get optimum solution. The latter ones are based on genetic models, that is, individuals can die and new individuals are created combining information of alive one; or are based on molecular/celular behavior passing information from one structure to another. A Grammatical Swarm model is applied to obtain the Neural Network topology of a given problem, training the net with a Particle Swarm algorithm in R. This paper just shows some ideas in order to obtain an automatic way to define the most suitable neural network topology for a given patter set. High dimension problem is also mentioned when dealing with the particle swarm algorithm.
International
Si
JCR
No
Title
WSEAS TRANSACTIONS on SYSTEMS
ISBN
1109-2777
Impact factor JCR
0
Impact info
Volume
9
Journal number
2
From page
192
To page
202
Month
FEBRERO
Ranking
Participants
  • Autor: Fernando de Mingo Lopez (UPM)
  • Autor: Nuria Gomez Blas (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Computación Natural
  • Grupo de Investigación: Grupo de Señal Fotónica
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