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

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

Description

Title: Suitability of Using Self-Organizing Neural Networks in Configuring P-System Communications Architectures
Author/s:
  • Gutierrez Rodriguez, Abraham
  • Delgado Sanz, Maria Soledad
  • Fernández Muñoz, Luis
Item Type: Presentation at Congress or Conference (Article)
Event Title: 15th International Conference on Neural Information, ICONIP'08
Event Dates: 25/11/2008-28/11/2008
Event Location: Auckland, New Zealand
Title of Book: Proceedings of the 15th International Conference on Neural Information, ICONIP'08
Date: 2009
ISBN: 978-3-642-03039-0
Subjects:
Faculty: E.U. de Informática (UPM)
Department: Organización y Estructura de la Información [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 4594
DC Identifier: http://oa.upm.es/4594/
OAI Identifier: oai:oa.upm.es:4594
Official URL: http://www.aut.ac.nz/iconip08/
Deposited by: Memoria Investigacion
Deposited on: 13 Oct 2010 11:31
Last Modified: 20 Apr 2016 13:44
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