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Mostrando ítems 41-49 de 49
Ponencia
Spiking Neural dP Systems
(Fénix Editora, 2011)
We bring together two topics recently introduced in membrane computing, the much investigated spiking neural P systems (in short, SN P systems), inspired from the way the neurons communicate through spikes, and the dP ...
Ponencia
Simulating a Family of Tissue P Systems Solving SAT on the GPU
(Fénix Editora, 2013)
In order to provide e cient software tools to deal with large membrane systems, high-throughput simulators are required. Parallel computing platforms are good candidates, since they are capable of partially implementing ...
Ponencia
Membrane Clustering: A Novel Clustering Algorithm under Membrane Computing
(Fénix Editora, 2014)
Membrane computing (known as P systems) is a class of distributed parallel computing models, this paper presents a novel algorithm under membrane computing for solving the data clustering problem, called as membrane ...
Ponencia
Languages and P Systems: Recent Developments
(Fénix Editora, 2012)
Languages appeared from the very beginning in membrane computing, by their length sets or directly as sets of strings. We briefly recall here this relationship, with some details about certain recent developments. In ...
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
Analysing Gene Networks with PDP Systems. Arabidopsis thaliana, a Case Study
(Fénix Editora, 2013)
Gene Regulatory Networks (GRNs) are a useful tool for biologists to understand the interactions among genes in living organisms. A special kind of GRNs known as Logic Networks (LNs) has been recently introduced. These ...
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
Bridging Membrane and Reaction Systems - Further Results and Research Topics
(Fénix Editora, 2013)
This paper continues an investigation into bridging two research areas con- cerned with natural computing: membrane computing and reaction systems. More specif- ically, the paper considers a transfer of two assumptions/axioms ...
Ponencia
Limits on Efficient Computation in P Systems with Symport/Antiport Rules
(Fenix Editora, 2017)
Classical membrane systems with symport/antiport rules observe the con- servation law, in the sense that they compute by changing the places of objects with respect to the membranes, and not by changing the objects ...