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Neural Computing and Applications
Published in: Neural Computing and Applications 12/2018

11-11-2016 | Original Article

A solving method based on neural network for a class of multi-leader–follower games

Authors: Yibing Lv, Zhongping Wan

Published in: Neural Computing and Applications | Issue 12/2018

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Abstract

In this paper, we present a new solving approach for a class of multi-leader–follower games. For the problem studied, we firstly propose a neural network model. Then, based on Lyapunov and LaSalle theories, we prove that the trajectory of the neural network model can converge to the equilibrium point, which corresponds to the Nash equilibrium of the problem studied. The numerical results show that the proposed neural network approach is feasible to the problem studied.
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Appendix
Available only for authorised users
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Metadata
Title
A solving method based on neural network for a class of multi-leader–follower games
Authors
Yibing Lv
Zhongping Wan
Publication date
11-11-2016
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 12/2018
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2648-2

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