Neural Network to Solve Concave Games
Joint Authors
Source
International Journal of Computer Games Technology
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-10
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Liu, Zixin& Wang, Nengfa. 2014. Neural Network to Solve Concave Games. International Journal of Computer Games Technology،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-457331
Modern Language Association (MLA)
Liu, Zixin& Wang, Nengfa. Neural Network to Solve Concave Games. International Journal of Computer Games Technology No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-457331
American Medical Association (AMA)
Liu, Zixin& Wang, Nengfa. Neural Network to Solve Concave Games. International Journal of Computer Games Technology. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-457331
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-457331
