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Artículo
An unsupervised learning algorithm for membrane computing
(Elsevier, 2015)
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 ...
Artículo
Optimal multi-level thresholding with membrane computing
(Elsevier, 2015)
The conventional methods are not effective and efficient for image multi-level thresholding due to time-consuming and expensive computation cost. The multi-level thresholding problem can be posed as anoptimization problem, ...
Ponencia
Computing Partial Recursive Functions by Virus Machines
(Springer, 2015)
Virus Machines are a computational paradigm inspired by the manner in which viruses replicate and transmit from one host cell to another. This paradigm provides non-deterministic sequential devices. Non-restricted Virus ...
Ponencia
Parallel Simulation of PDP Systems: Updates and Roadmap
(Fénix Editora, 2015)
PDP systems are a type of multienvironment P systems, which serve as a formal modeling framework for Population Dynamics. The accurate simulation of these probabilistic models entails large run times. Hence, parallel ...
Ponencia
Notes on Spiking Neural P Systems and Finite Automata
(Fénix Editora, 2015)
Spiking neural P systems (in short, SNP systems) are membrane computing models inspired by the pulse coding of information in biological neurons. SNP systems with standard rules have neurons that emit at most one spike ...
Ponencia
Minimal Cooperation in P Systems with Symport/Antiport: A Complexity Approach
(Fénix Editora, 2015)
Membrane systems with symport/antiport rules compute by just moving objects among membranes, and not by changing the objects themselves. In these systems the environment plays an active role because, not only it receives ...
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 ...
Artículo
A P–Lingua Based Simulator for P Systems with Symport/Antiport Rules
(IOS Press, 2015)
Inspired by mitosis process and membrane fission processes, cell-like P systems with symport/antiport rules and membrane division rules or membrane separation rules have been introduced, respectively. These computation ...
Artículo
Fuzzy Membrane Computing: Theory and Applications
(Agora University of Oradea, 2015)
Fuzzy membrane computing is a newly developed and promising research direction in the area of membrane computing that aims at exploring the complex in- teraction between membrane computing and fuzzy theory. This paper ...
Ponencia
Computational Efficiency of P Systems with Symport/Antiport Rules and Membrane Separation
(Fénix Editora, 2015)
Membrane ssion is a process by which a biological membrane is split into two new ones in such a way that the contents of the initial membrane is separated and distributed between the new membranes. Inspired by this ...