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Mostrando ítems 81-90 de 97
Ponencia
Nondeterminism in Spiking Neural P Systems: Algorithms and Simulations
(Xihua University, 2017)
Spiking Neural P system (or SN P system) is a computing model based on the neurons in a living being. It is composed of neurons containing spikes interconnected by synapses. Each neuron contain a set of rules which will ...
Artículo
GPU implementation of evolving spiking neural P systems
(ScienceDirect, 2022-09)
Methods for optimizing and evolving spiking neural P systems (in short, SN P systems) have been previously developed with the use of a genetic algorithm framework. So far, these computations, both evolving and simulating, ...
Ponencia
Restricted Polarizationless P Systems with Active Membranes: Minimal Cooperation Only Outwards
(Fenix Editora, 2017)
Membrane computing is a computing paradigm providing a class of distributed parallel computing devices of a biochemical type whose process units represent biological membranes. In the cell-like basic model, a hierarchical ...
Ponencia
A uniform framework for modeling based on P Systems
(IEEE Computer Society, 2010)
In this paper, a P systems based general framework for modeling the dynamics of a population biology is presented. Multienvironment probabilistic functional P systems with active membranes provide the syntactical ...
Capítulo de Libro
A Simulation Workflow for Membrane Computing: From MeCoSim to PMCGPU Through P-Lingua
(Springer, 2018)
P system simulators are of high importance in Membrane Computing, since they provide tools to assist on model validation and verification. Keeping a balance between generality and flexibility, on the one side, and ...
Ponencia
Sparse-matrix Representation of Spiking Neural P Systems for GPUs
(Fenix Editora, 2017)
Current parallel simulation algorithms for Spiking Neural P (SNP) systems are based on a matrix representation. This helps to harness the inherent parallelism in algebraic operations, such as vector-matrix multiplication. ...
Ponencia
GPU-friendly EBCOT variant with single-pass scan order and raw bit plane coding
(IEEE Computer Society, 2017)
A major drawback of JPEG 2000 is the computational complexity of its entropy coder named Embedded Block Coder with Optimized Truncation (EBCOT). This paper proposes two alterations to the original algorithm that seek to ...
Ponencia
A new simulation algorithm for multienvironment probabilistic P systems
(IEEE Computer Society, 2010)
Multienvironment P systems are the base of a general framework for modeling ecosystems dynamics. On one hand, this modeling framework represents the structural and dynamical aspects of real ecosystems in a discrete, ...
Ponencia
An Overview of Hardware Implementations of P Systems
(Xihua University, 2017)
Implementing the P systems on parallel hardware is a re- search highlight in bio-inspired computing since the membrane comput- ing is a large-scale parallel computing paradigm which have a potential to tremendously speed ...
Ponencia
Spiking Neural P Systems with Structural Plasticity: Attacking the Subset Sum Problem
(Springer, 2015)
Spiking neural P systems with structural plasticity (in short, SNPSP systems) are models of computations inspired by the function and structure of biological neurons. In SNPSP systems, neurons can create or delete ...