Neural Network to Solve Concave GamesReportar como inadecuado

Neural Network to Solve Concave Games - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

International Journal of Computer Games Technology - Volume 2014 2014, Article ID 249721, 8 pages -

Research Article

College of Computer Science and Information, GuiZhou University, Guiyang 550025, China

Department of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang 550004, China

Received 17 August 2013; Accepted 28 January 2014; Published 10 March 2014

Academic Editor: Daniel Thalmann

Copyright © 2014 Zixin Liu and Nengfa Wang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The issue on neural network method to solve concave games is concerned. Combined with variational inequality, Ky Fan inequality, and projection equation, concavegames 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 toillustrate the theoretical results.

Autor: Zixin Liu and Nengfa Wang



Documentos relacionados