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Ponencias en congresos:
Suitability of Using Self-Organizing Neural Networks in Configuring P-System Communications Architectures
Año:2008
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
Nowadays, it is possible to find out different viable architectures that implements P Systems in a distributed cluster of processors. These proposed architectures have reached a certain compromise between the massively parallelism character of the system and the evolution step times. They are based in the distribution of several membranes in each processor, the use of proxies to control the communication between membranes and mainly, the suitable distribution of the architecture in a balanced tree of processors. For a given P-system and K processors, there exists a great volume of possible distributions of membranes over these. The main disadvantage related with these architectures is focused in the selection of the distribution of membranes that minimizes the external communications between them and maximizes the parallelism grade. In this paper, we suggest the use of Self-Organizing Neural Networks (SONN) with growing capability to help in this selection process for a given P-system.
Internacional
No
Nombre congreso
15th International Conference on Neural Information Processing (ICONIP'08)
Tipo de participación
960
Lugar del congreso
Auckland, New Zealand
Revisores
Si
ISBN o ISSN
978-3-642-03039-0
DOI
Fecha inicio congreso
25/11/2008
Fecha fin congreso
28/11/2008
Desde la página
437
Hasta la página
444
Título de las actas
Lecture Notes in Computer Science Vol. 5507, Springer-Verlag Berlin Heidelberg
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Abraham Gutierrez Rodriguez (UPM)
  • Autor: Luis Fernandez Muñoz (UPM)
  • Autor: Maria Soledad Delgado Sanz (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Organización y Estructura de la Información
  • Departamento: Lenguajes, Proyectos y Sistemas Informáticos
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