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.