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Artículo
A complete arithmetic calculator constructed from spiking neural P systems and its application to information fusion
(World Scientific, 2021)
Several variants of spiking neural P systems (SNPS) have been presented in the literature to perform arith- 1 metic operations. However, each of these variants was designed only for one specific arithmetic operation. 2 In ...
Artículo
An optimization Spiking Neural P system for approximately solving combinatorial optimization problems
(World Scientific, 2014)
Membrane systems (also called P systems) refer to the computing models abstracted from the structure and the functioning of the living cell as well as from the cooperation of cells in tissues, organs, and other populations ...
Artículo
Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems
(IEEE Computer Society, 2015)
This paper proposes a graphic modeling approach, fault diagnosis method based on fuzzy reasoning spiking neural P systems (FDSNP), for power transmission networks. In FDSNP, fuzzy reasoning spiking neural P systems (FRSN ...
Artículo
A Review of Membrane Computing Models for Complex Ecosystems and a Case Study on a Complex Giant Panda System
(Hindawi, 2020)
Ecosystem modelling based on membrane computing is emerging as a powerful way to study the dynamics of (real) ecological populations. *ese models, providing distributed parallel devices, have shown a great potential to ...
Ponencia
A review of membrane computing models for ecosystems and a case study on giant pandas
(IMCS: International Membrane Computing Society, 2019)
Ecosystem modeling based on membrane computing is emerging as a powerful way to study the dynamic of (real) ecological populations. These models, providing distributed parallel devices, have shown a great potential to ...
Artículo
Fault Diagnosis of Metro Traction Power Systems Using A Modified Fuzzy Reasoning Spiking Neural P System
(Romanian Academy, Section for Information Science and Technology, 2015)
This paper presents the application of a modified fuzzy reasoning spiking neural P systems (MFRSN P system, for short) to fault diagnosis of metro traction power supply systems. In MFRSN P systems, three types of neurons ...
Artículo
Fault Section Estimation of Power Systems with Optimization Spiking Neural P Systems
(Romanian Academy, Section for Information Science and Technology, 2015)
An optimization spiking neural P system (OSNPS) provides a novel way to directly use a P system to solve optimization problems. This paper discusses the practical application of OSNPS for the first time and uses it to ...
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 ...
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 ...
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 ...