A bibliometric analysis of membrane computing (1998--2019)
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Publication:6135718
DOI10.1007/s41965-022-00098-2zbMath1518.68121MaRDI QIDQ6135718
Gexiang Zhang, Yingying Duan, Haina Rong
Publication date: 26 August 2023
Published in: Journal of Membrane Computing (Search for Journal in Brave)
automata theorybioinformaticsformal languagesmembrane computingbibliometricsP-systemsbio-inspired approaches
Formal languages and automata (68Q45) Bibliographic studies (01A90) Biologically inspired models of computation (DNA computing, membrane computing, etc.) (68Q07)
Related Items (5)
Languages generated by numerical P systems with thresholds ⋮ A model learning based testing approach for kernel P systems ⋮ Multi-learning rate optimization spiking neural P systems for solving the discrete optimization problems ⋮ Turing universality of sequential spiking neural P systems with polarizations as number accepting devices ⋮ Migration strategy in distributed adaptive optimization spiking neural P systems
Cites Work
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- Spiking neural P systems with neuron division and budding
- An unsupervised learning algorithm for membrane computing
- The power of communication: P systems with symport/antiport
- Spiking neural P systems: an improved normal form
- Solving multidimensional 0-1 knapsack problem by P systems with input and active membranes
- P systems with minimal parallelism
- Deterministic solutions to QSAT and Q3SAT by spiking neural P systems with pre-computed resources
- Computational complexity of tissue-like P systems
- A quick introduction to membrane computing
- Asynchronous spiking neural P systems
- Tissue P systems.
- Complexity classes in models of cellular computing with membranes
- Computing with membranes
- Real-life applications with membrane computing
- Tissue P systems with channel states
- A guide to membrane computing.
- Membrane computing. An introduction.
- Synchronization of rules in membrane computing
- A new method to simulate restricted variants of polarizationless P systems with active membranes
- Membrane computing models and robot controller design, current results and challenges
- Sequential SNP systems based on min/max spike number
- Reaction systems with influence on environment
- P systems with proteins: a new frontier when membrane division disappears
- Inference of bounded L systems with polymorphic P systems
- Characterizing PSPACE with shallow non-confluent P systems
- Minimal cooperation as a way to achieve the efficiency in cell-like membrane systems
- Alternative representations of P systems solutions to the graph colouring problem
- Matrix representation and simulation algorithm of spiking neural P systems with structural plasticity
- Generating context-free languages using spiking neural P systems with structural plasticity
- P systems attacking hard problems beyond NP: a survey
- Fuzzy reasoning spiking neural P system for fault diagnosis
- Solving HPP and SAT by P systems with active membranes and separation rules
- Asynchronous spiking neural P systems with local synchronization
- Membrane computing. 9th international workshop, WMC 2008, Edinburgh, UK, July 28--31, 2008. Revised selected and invited papers
- Membrane system models for super-Turing paradigms
- A faster algorithm for betweenness centrality*
- Spiking Neural P Systems with Astrocytes
- Time-Free Spiking Neural P Systems
- Spiking Neural P Systems with Weights
- Computing with Cells
- DYNAMICAL PROBABILISTIC P SYSTEMS
- P Machines: An Automata Approach to Membrane Computing
- Strategy-Based Rewrite Semantics for Membrane Systems Preserves Maximal Concurrency of Evolution Rule Actions
- Membrane Computing
- Spiking Neural P Systems with Thresholds
- RESEARCH FRONTIERS OF MEMBRANE COMPUTING: OPEN PROBLEMS AND RESEARCH TOPICS
- SPIKE TRAINS IN SPIKING NEURAL P SYSTEMS
- Membrane Computing
- A distributed adaptive optimization spiking neural P system for approximately solving combinatorial optimization problems
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