Proposal of a Control Algorithm for Multiagent Cooperation Using Spiking Neural Networks.
IEEE Trans Neural Netw Learn Syst
; 34(4): 2016-2027, 2023 Apr.
Article
en En
| MEDLINE
| ID: mdl-34449399
ABSTRACT
The study deals with the issue of using spiking neural networks (SNNs) in multiagent systems. The research objective is a proposal of a control algorithm for the cooperation of a group of agents using SNNs, application of the Izhikevich model, and plasticity depending on the timing of action potentials. The proposed method has been verified and experimentally tested, proving numerous advantages over second-generation networks. The advantages and the application in real systems are described in the research conclusions.
Texto completo:
1
Banco de datos:
MEDLINE
Tipo de estudio:
Prognostic_studies
Idioma:
En
Año:
2023
Tipo del documento:
Article