Ponencia
Simulating FRSN P Systems with Real Numbers in P-Lingua on sequential and CUDA platforms
Autor/es | Macías Ramos, Luis Felipe
Martínez del Amor, Miguel Ángel Pérez Jiménez, Mario de Jesús |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2015 |
Fecha de depósito | 2019-05-29 |
Publicado en |
|
ISBN/ISSN | 978-3-319-28474-3 0302-9743 |
Resumen | Fuzzy Reasoning Spiking Neural P systems (FRSN P systems,
for short) is a variant of Spiking Neural P systems incorporating
fuzzy logic elements that make it suitable to model fuzzy diagnosis knowledge
and reasoning ... Fuzzy Reasoning Spiking Neural P systems (FRSN P systems, for short) is a variant of Spiking Neural P systems incorporating fuzzy logic elements that make it suitable to model fuzzy diagnosis knowledge and reasoning required for fault diagnosis applications. In this sense, several FRSN P system variants have been proposed, dealing with real numbers, trapezoidal numbers, weights, etc. The model incorporating real numbers was the first introduced [13], presenting promising applications in the field of fault diagnosis of electrical systems. For this variant, a matrix-based algorithm was provided which, when executed on parallel computing platforms, fully exploits the model maximally parallel capacities. In this paper we introduce a P-Lingua framework extension to parse and simulate FRSN P systems with real numbers. Two simulators, implementing a variant of the original matrix-based simulation algorithm, are provided: a sequential one (written in Java), intended to run on traditional CPUs, and a parallel one, intended to run on CUDAenabled devices. |
Identificador del proyecto | TIN2012-37434 |
Cita | Macías Ramos, L.F., Martínez del Amor, M.Á. y Pérez Jiménez, M.d.J. (2015). Simulating FRSN P Systems with Real Numbers in P-Lingua on sequential and CUDA platforms. En CMC 2015: 16th International Conference on Membrane Computing (262-276), Valencia, España: Springer. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Simulating FRSN P Systems.pdf | 266.5Kb | [PDF] | Ver/ | |