Descripción
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In this paper we create a matrix representation for Spiking Neural P Systems with Structural Plasticity (SNPSP, for short), taking inspiration from existing algorithms and representations for related models. Using our matrix representation, we provide a simulation algorithm for SNPSP systems. We analyse the time and space complexity of our algorithm. Such a simulation algorithm will be useful for implementing SNPSP systems, including related models with a dynamic topology, in software or hardware. | |
Internacional
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Si |
Nombre congreso
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Conference on Membrane Computing |
Tipo de participación
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960 |
Lugar del congreso
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Revisores
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Si |
ISBN o ISSN
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No existe |
DOI
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Fecha inicio congreso
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10/12/2018 |
Fecha fin congreso
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16/12/2018 |
Desde la página
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54 |
Hasta la página
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77 |
Título de las actas
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Proceedings of the Asian Branch of International Conference on Membrane Computing |