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 …

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 …

Multi-agent systems (MASs) are typically composed of multiple smart entities with
independent sensing, communication, computing, and decision-making capabilities …

Biological brains have a natural capacity for resolving certain classification tasks. Studies on
biologically plausible spiking neurons, architectures and mechanisms of artificial neural …

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 …

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 …

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 …

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 …

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 …

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 …