Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Grammatical Swarm and Particle Swarm Optimization models applied to Neural Network learning and topology de nition
Year:2009
Research Areas
  • Artificial intelligence
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 behaviour 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. 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.
International
Si
Book Edition
0
Book Publishing
ISBN
978-960-474-144-1
Series
Book title
Recent Advances in Computational Intelligence, Man-machine Systems and Cybernetics
From page
180
To page
185
Participants
  • Autor: Nuria Gomez Blas (UPM)
  • Autor: Fernando de Mingo Lopez (UPM)
  • Autor: Juan Manuel Garitagoitia Martin (UPM)
  • Autor: Victor Jose Martinez Hernando (UPM)
  • Autor: Jose Antonio Calvo-Manzano Villalon (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Computación Natural
  • Grupo de Investigación: Grupo de Señal Fotónica
  • Grupo de Investigación: SEMEPRO: Seguridad y Mejora de Procesos
  • Departamento: Organización y Estructura de la Información
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
  • Departamento: Arquitectura y Tecnología de Computadores (E.U. Informática)
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