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Mostrando ítems 1-6 de 6
Artículo
P‑Lingua in two steps: flexibility and efficiency
(Springer, 2019)
Membrane computing is a bio-inspired computing paradigm that lacks in vivo implementation. That is why software or hardware implementations have to be used to validate models. Several tools have been created for this ...
Artículo
Spiking neural P systems with inhibitory rules
(Elsevier, 2020)
Motivated by the mechanism of inhibitory synapses, a new kind of spiking neural P (SNP) system rules, called inhibitory rules, is introduced in this paper. Based on this, a new variant of SNP systems is proposed, called ...
Artículo
When object production tunes the efficiency of membrane systems
(Elsevier, 2020)
Psystems with active membranes is one of the most studied models within the field ofMembrane Computing. Simulating the organization and behavior of the living cells througha tree-like structure and abstracting the mechanisms ...
Artículo
A membrane parallel rapidly-exploring random tree algorithm for robotic motion planning
(IOS Press, 2020)
In recent years, incremental sampling-based motion planning algorithms have been widely used to solve robot motion planning problems in high-dimensional configuration spaces. In particular, the Rapidly-exploring Random ...
Artículo
A Decade of Ecological Membrane Computing Applications
(IMCS: International Membrane Computing Society, 2018)
A short summary of recent ecological modelling applications within mem- brane computing developed by the Research Group on Natural Computing (RGNC) is presented here. A timeline of models presented in the last 10 years ...
Ponencia
Robot Path Planning using Rapidly-Exploring Random Trees: A Membrane Computing Approach
(IEEE Computer Society, 2018)
Methods based on Rapidly-exploring Random Trees (RRTs) have been in use in robotics to solve motion planning problems for nearly two decades. On the other hand, in the membrane computing framework, models based on ...