A bibliometric analysis of membrane computing (1998–2019)
H Rong, Y Duan, G Zhang - Journal of Membrane Computing, 2022 - Springer
Membrane computing as a topic in the Mathematics Subjects Classification 2020 by
Mathematical Reviews and zbMATH is a sign of maturity of this research area initiated in the …
Mathematical Reviews and zbMATH is a sign of maturity of this research area initiated in the …
Thinking about spiking neural P systems: some theories, tools, and research topics
FGC Cabarle - Journal of Membrane Computing, 2024 - Springer
The present work focuses on three notions about spiking neural P systems (SN P systems),
namely normal forms, homogeneous systems, and software tools for easy access and visual …
namely normal forms, homogeneous systems, and software tools for easy access and visual …
Enzymatic numerical spiking neural membrane systems and their application in designing membrane controllers
L Zhang, F Xu, D **ao, J Dong, G Zhang… - International Journal of …, 2022 - World Scientific
Spiking neural P systems (SN P systems), inspired by biological neurons, are introduced as
symbolical neural-like computing models that encode information with multisets of …
symbolical neural-like computing models that encode information with multisets of …
A human-simulated fuzzy membrane approach for the joint controller of walking biped robots
To guarantee their locomotion, biped robots need to walk stably. The latter is achieved by a
high performance in joint control. This article addresses this issue by proposing a novel …
high performance in joint control. This article addresses this issue by proposing a novel …
Reducer lubrication optimization with an optimization spiking neural P system
It is very difficult to improve the efficiency and accuracy of reducer lubrication due to the
limitation of the traditional simulation method. In this paper, an optimization model with …
limitation of the traditional simulation method. In this paper, an optimization model with …
Cancer gene selection with adaptive optimization spiking neural p systems and hybrid classifiers
Y Hu, J Dong, G Zhang, Y Wu, H Rong… - Journal of Membrane …, 2023 - Springer
The selection of disease-causing genes from gene expression and methylation data is a
great benefit for cancer diagnosis and treatment, but it also faces the limitations due to single …
great benefit for cancer diagnosis and treatment, but it also faces the limitations due to single …
[HTML][HTML] Generating, computing and recognizing with virus machines
Natural computing is a research area of computer science where different models of
computation arise from the inspiration of real-life natural processes. In particular, virus …
computation arise from the inspiration of real-life natural processes. In particular, virus …
Migration strategy in distributed adaptive optimization spiking neural P systems
J Dong, G Zhang, D **ao, B Luo, H Rong - Journal of Membrane …, 2022 - Springer
The distributed adaptive optimization spiking neural P systems (DAOSNPS) are membrane
optimization algorithms which does not depend on evolutionary algorithms or swarm …
optimization algorithms which does not depend on evolutionary algorithms or swarm …
Spiking neural P systems with long-term potentiation and depression
Spiking neural P systems (SNP systems) are parallel, distributed, low energy consuming,
non-deterministic, interpretable and simple structured computational models abstracted from …
non-deterministic, interpretable and simple structured computational models abstracted from …
Membrane computing with harmony search algorithm for gene selection from expression and methylation data
S Tuo, F Liu, ZY Feng, C Li, YL Zhu, TR Chen… - Journal of Membrane …, 2022 - Springer
Selecting disease-causing genes from gene expression and methylation data with hundreds
of thousands of loci is of great benefit for cancer diagnosis and treatment, but it also faces …
of thousands of loci is of great benefit for cancer diagnosis and treatment, but it also faces …