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Mostrando ítems 11-20 de 37
Ponencia
Asynchronous Spiking Neural P Systems with Structural Plasticity
(Fénix Editora, 2015)
Spiking neural P (in short, SNP) systems are computing devices inspired by biological spiking neurons. In this work we consider SNP systems with structural plasticity (in short, SNPSP systems) working in the asynchronous ...
Ponencia
Image Thresholding with Cell-like P Systems
(Fénix Editora, 2012)
P systems are a new class of distributed parallel computing models. In this paper, a novel three-level thresholding approach for image segmentation based on celllike P systems is proposed in order to improve the computational ...
Ponencia
P Systems as a Modeling Framework for Molecular Systems Biology
(Huazhong University of Science and Technology, 2012)
Artículo
Monodirectional Tissue P Systems With Promoters
(IEEE Computer Society, 2020)
Tissue P systems with promoters provide nondeterministic parallel bioinspired devices that evolve by the interchange of objects between regions, determined by the existence of some special objects called promoters. ...
Ponencia
A Semantic Frontier of the Efficiency in Membrane Systems
(Centre for Discrete Mathematics and Theoretical Computer Science, 2018)
The (presumed) efficiency of computing models is expressed by means of their ability to solve (NP-complete) presumably intractable problems in an efficient way or not. The relevance of this kind of frontier lies in the ...
Artículo
Bounding the Indegree of Spiking Neural P Systems
(Turku Center for Computer Science, 2006)
We continue the search of normal forms for spiking neural P systems, and we prove that the indegree of such systems (the maximal number of incoming synapses of neurons) can be bounded by 2 without losing the computatio ...
Artículo
Notes on spiking neural P systems and finite automata
(Springer, 2016)
Spiking neural P systems (in short, SN P systems) are membrane computing models inspired by the pulse coding of information in biological neurons. SN P systems with standard rules have neurons that emit at most one ...
Artículo
A Fault Diagnosis Method of Power Systems Based on an Improved Adaptive Fuzzy Spiking Neural P Systems and PSO Algorithms
(Chinese Institute of Electronics, 2016)
A new fault diagnosis method based on improved Adaptive fuzzy spiking neural P systems (in short, AFSN P systems) and Particle swarm optimization (PSO) algorithm is presented to improve the efficiency and accuracy of ...
Ponencia
P Systems based Computing Polynomials: Design and Formal Verification
(IMCS: International Membrane Computing Society, 2015)
Automatic design of P systems is an attractive research topic in the community of membrane computing. Differing from the previous work that used evolutionary algorithms to fulfill the task, this paper presents the design ...
Ponencia
Temporal Fuzzy Reasoning Spiking Neural P Systems with Real Numbers for Power System Fault Diagnosis
(IMCS: International Membrane Computing Society, 2015)
This paper proposes a temporal fuzzy reasoning spiking neural P sys- tem with real numbers (rTFRSN P system) and its corresponding fault diagnosis method called FDTSNP to diagnose faults in a power system. The introduction of ...