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Ponencia
A bioinspired computing approach to model complex systems
(Springer, 2014)
The use of models is intrinsic to any scientific activity. In particular, formal/mathematical models provide a relevant tool for scientific investigation. This paper presents a new Membrane Computing based computational ...
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
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
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 ...
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 ...
Capítulo de Libro
Asynchronous Spiking neural P systems with structural plasticity
(Springer, 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
P systems based computing polynomials: design and formal verification
(Springer, 2016)
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 ...