Suitability of Using Self-Organizing Neural Networks in Configuring P-System Communications Architectures

Gutierrez Rodriguez, Abraham; Delgado Sanz, Maria Soledad y Fernández Muñoz, Luis (2009). Suitability of Using Self-Organizing Neural Networks in Configuring P-System Communications Architectures. En: "15th International Conference on Neural Information, ICONIP'08", 25/11/2008-28/11/2008, Auckland, New Zealand. ISBN 978-3-642-03039-0.

Descripción

Título: Suitability of Using Self-Organizing Neural Networks in Configuring P-System Communications Architectures
Autor/es:
  • Gutierrez Rodriguez, Abraham
  • Delgado Sanz, Maria Soledad
  • Fernández Muñoz, Luis
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 15th International Conference on Neural Information, ICONIP'08
Fechas del Evento: 25/11/2008-28/11/2008
Lugar del Evento: Auckland, New Zealand
Título del Libro: Proceedings of the 15th International Conference on Neural Information, ICONIP'08
Fecha: 2009
ISBN: 978-3-642-03039-0
Materias:
Escuela: E.U. de Informática (UPM) [antigua denominación]
Departamento: Organización y Estructura de la Información [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 4594
Identificador DC: http://oa.upm.es/4594/
Identificador OAI: oai:oa.upm.es:4594
URL Oficial: http://www.aut.ac.nz/iconip08/
Depositado por: Memoria Investigacion
Depositado el: 13 Oct 2010 11:31
Ultima Modificación: 20 Abr 2016 13:44
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