Now showing items 1-10 of 12
Parallel Simulation of Probabilistic P Systems on Multicore Platforms [Presentation]
(Fénix Editora, 2012)
Ecologists need to model ecosystems to predict how they will evolve over time. Since ecosystems are non-deterministic phenomena, they must express the likelihood of events occurring, and measure the uncertainty of their ...
Computation of Ramsey Numbers by P Systems with Active Membranes [Article]
(World Scientific, 2011)
Ramsey numbers deal with conditions when a combinatorial object necessarily contains some smaller given objects. It is well known that it is very difficult to obtain the values of Ramsey numbers. In this work, a theoretical ...
A bio-inspired computing model as a new tool for modeling ecosystems: The avian scavengers as a case study [Article]
(Science Direct, 2011)
The models used for ecosystems modeling are generally based on differential equations. However, in recent yearsnewcomputational models based on biological processes, or bioinspired models, have arisen, among which are P ...
P systems simulations on massively parallel architectures [Presentation]
(Universidad Complutense de Madrid, 2010)
Membrane Computing is an emergent research area studying the behaviour of living cells to de ne bio-inspired computing devices, also called P systems. Such devices provide polynomial time solutions to NP-complete problems ...
The GPU on the simulation of cellular computing models [Article]
Membrane Computing is a discipline aiming to abstract formal computing models, called membrane systems or P systems, from the structure and functioning of the living cells as well as from the cooperation of cells in ...
Fuzzy reasoning spiking neural P system for fault diagnosis [Article]
Spiking neural P systems (SN P systems) have been well established as a novel class of distributed parallel computing models. Some features that SN P systems possess are attractive to fault diagnosis. However, handling ...
An unsupervised learning algorithm for membrane computing [Article]
This paper focuses on the unsupervised learning problem within membrane computing, and proposes an innovative solution inspired by membrane computing techniques, the fuzzy membrane clustering algorithm. An evolution–co ...
On GPU-Oriented P Systems [Presentation]
(IEEE Computer Society, 2018)
The framework of P systems applied to solve optimal watermarking problem [Article]
Membrane computing (known as P systems) is a novel class of distributed parallel computing models inspired by the structure and functioning of living cells and organs, and its application to the real-world problems has ...
Simulating FRSN P Systems with Real Numbers in P-Lingua on sequential and CUDA platforms [Presentation]
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 ...