A survey of nature-inspired computing: Membrane computing
Nature-inspired computing is a type of human-designed computing motivated by nature,
which is based on the employ of paradigms, mechanisms, and principles underlying natural …
which is based on the employ of paradigms, mechanisms, and principles underlying natural …
An overview of hardware implementation of membrane computing models
The model of membrane computing, also known under the name of P systems, is a bio-
inspired large-scale parallel computing paradigm having a good potential for the design of …
inspired large-scale parallel computing paradigm having a good potential for the design of …
Physical safety and cyber security analysis of multi-agent systems: A survey of recent advances
Multi-agent systems (MASs) are typically composed of multiple smart entities with
independent sensing, communication, computing, and decision-making capabilities …
independent sensing, communication, computing, and decision-making capabilities …
A layered spiking neural system for classification problems
Biological brains have a natural capacity for resolving certain classification tasks. Studies on
biologically plausible spiking neurons, architectures and mechanisms of artificial neural …
biologically plausible spiking neurons, architectures and mechanisms of artificial neural …
An attention-aware long short-term memory-like spiking neural model for sentiment analysis
Q Liu, Y Huang, Q Yang, H Peng… - International journal of …, 2023 - World Scientific
LSTM-SNP model is a recently developed long short-term memory (LSTM) network, which is
inspired from the mechanisms of spiking neural P (SNP) systems. In this paper, LSTM-SNP …
inspired from the mechanisms of spiking neural P (SNP) systems. In this paper, LSTM-SNP …
Attention-enabled gated spiking neural P model for aspect-level sentiment classification
Y Huang, H Peng, Q Liu, Q Yang, J Wang… - Neural Networks, 2023 - Elsevier
Gated spiking neural P (GSNP) model is a recently developed recurrent-like network, which
is abstracted by nonlinear spiking mechanism of nonlinear spiking neural P systems. In this …
is abstracted by nonlinear spiking mechanism of nonlinear spiking neural P systems. In this …
Edge detection method based on nonlinear spiking neural systems
R **an, R Lugu, H Peng, Q Yang, X Luo… - International journal of …, 2023 - World Scientific
Nonlinear spiking neural P (NSNP) systems are a class of neural-like computational models
inspired from the nonlinear mechanism of spiking neurons. NSNP systems have a …
inspired from the nonlinear mechanism of spiking neurons. NSNP systems have a …
Gated spiking neural P systems for time series forecasting
Q Liu, L Long, H Peng, J Wang, Q Yang… - … on Neural Networks …, 2021 - ieeexplore.ieee.org
Spiking neural P (SNP) systems are a class of neural-like computing models, abstracted by
the mechanism of spiking neurons. This article proposes a new variant of SNP systems …
the mechanism of spiking neurons. This article proposes a new variant of SNP systems …
A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies
This paper focuses on power system fault diagnosis based on Weighted Corrective Fuzzy
Reasoning Spiking Neural P Systems with real numbers (rWCFRSNPSs) to propose a …
Reasoning Spiking Neural P Systems with real numbers (rWCFRSNPSs) to propose a …
Spiking Neural P Systems with Communication on Request
Spiking Neural P Systems are Neural System models characterized by the fact that each
neuron mimics a biological cell and the communication between neurons is based on …
neuron mimics a biological cell and the communication between neurons is based on …