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Mostrando ítems 1-5 de 5
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
Solving the 0-1 Knapsack Problem by Using Tissue P System With Cell Division
(IEEE Computer Society, 2019)
Membrane computing is a kind of distributed and parallel computing model inspired by a biological cell mechanism. The maximum parallelism of membrane computing improves the computational efficiency of its computational ...
Artículo
A path to computational efficiency through membrane computing
(Elsevier, 2019)
The search for new mechanisms and tools allowing us to tackle the famousPversusNPproblem from new perspectives is an important task, due to the relevance of that problem.The concept of efficiency of computing models is ...
Artículo
Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration
(IEEE Computer Society, 2019)
To reveal fault propagation paths is one of the most critical studies for the analysis of power system security; however, it is rather dif cult. This paper proposes a new framework for the fault propagation path modeling ...
Artículo
Dynamic threshold neural P systems
(Elsevier, 2019)
Pulse coupled neural networks (PCNN, for short) are models abstracting the synchronization behavior observed experimentally for the cortical neurons in the visual cortex of a cat’s brain, and the intersecting cortical ...