Neural Network to Solve Concave Games

Neural Network to Solve Concave Games

The issue on neural network method to solve concave games is concerned. Combined with variational inequality, Ky Fan inequality, and projection equation, concave games are transformed into a neural network model. On the basis of the Lyapunov stable theory, some stability results are also given. Fina...

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Bibliographic Details
Main Authors: Zixin Liu, Nengfa Wang
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:International Journal of Computer Games Technology
Online Access:http://dx.doi.org/10.1155/2014/249721
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spelling doaj-0c89d08bb1ef450994177079fbf478152020-11-24T23:12:02ZengHindawi LimitedInternational Journal of Computer Games Technology1687-70471687-70552014-01-01201410.1155/2014/249721249721Neural Network to Solve Concave GamesZixin Liu0Nengfa Wang1College of Computer Science and Information, GuiZhou University, Guiyang 550025, ChinaDepartment of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang 550004, ChinaThe issue on neural network method to solve concave games is concerned. Combined with variational inequality, Ky Fan inequality, and projection equation, concave games are transformed into a neural network model. On the basis of the Lyapunov stable theory, some stability results are also given. Finally, two classic games’ simulation results are given to illustrate the theoretical results.http://dx.doi.org/10.1155/2014/249721
collection DOAJ
language English
format Article
sources DOAJ
author Zixin Liu
Nengfa Wang
spellingShingle Zixin Liu
Nengfa Wang
Neural Network to Solve Concave Games
International Journal of Computer Games Technology
author_facet Zixin Liu
Nengfa Wang
author_sort Zixin Liu
title Neural Network to Solve Concave Games
title_short Neural Network to Solve Concave Games
title_full Neural Network to Solve Concave Games
title_fullStr Neural Network to Solve Concave Games
title_full_unstemmed Neural Network to Solve Concave Games
title_sort neural network to solve concave games
publisher Hindawi Limited
series International Journal of Computer Games Technology
issn 1687-7047
1687-7055
publishDate 2014-01-01
description The issue on neural network method to solve concave games is concerned. Combined with variational inequality, Ky Fan inequality, and projection equation, concave games are transformed into a neural network model. On the basis of the Lyapunov stable theory, some stability results are also given. Finally, two classic games’ simulation results are given to illustrate the theoretical results.
url http://dx.doi.org/10.1155/2014/249721
work_keys_str_mv AT zixinliu neuralnetworktosolveconcavegames
AT nengfawang neuralnetworktosolveconcavegames
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