Characterizing consensus in threshold Boolean networks-Reference-Cited by-同舟云学术

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Characterizing consensus in threshold Boolean networks

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
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Author:

Ruz Gonzalo A.¹,Goles Eric²

Affiliation:

1. Universidad Adolfo Ibáñe: Center of Applied Ecology and Sustainability (CAPES),Facultad de Ingeniería y Ciencias,Santiago,Chile

2. Universidad Adolfo Ibáñez,Facultad de Ingeniería y Ciencias,Santiago,Chile

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892553.pdf?arnumber=9892553

Reference30 articles.

1. Particle swarm optimization

2. General consensus with circular opinion under attractive and repulsive mechanisms

3. Stochastic Modelling of Blockchain Consensus

4. Collective intelligence and the blockchain: Technology, communities and social experiments;baronchelli;ArXiv,2021

5. Quantifying and modelling online decentralised systems: a complex systems approach;elbahrawy;City University London,2020

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1. Design of an Artificial Neural Network to Improve the Stability of Smart Power Grids;2023 IEEE International Conference on Electro Information Technology (eIT);2023-05-18

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