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文章基本信息

  • 标题:Neural Network to Solve Concave Games
  • 本地全文:下载
  • 作者:Zixin Liu ; Nengfa Wang
  • 期刊名称:International Journal of Computer Games Technology
  • 印刷版ISSN:1687-7047
  • 电子版ISSN:1687-7055
  • 出版年度:2014
  • 卷号:2014
  • DOI:10.1155/2014/249721
  • 出版社:Hindawi Publishing Corporation
  • 摘要: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.
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