摘要
利用非光滑分析的理论讨论了非可微鞍泛函的minimax问题,并建立非光滑神经网络来求鞍泛函的鞍点。在适当的条件下。
This paper investigates the minimax problem of a non differentiable saddle functional,and constructs a nonsmooth neural network to search for the saddle point of a saddle functional.Under suitable conditions the convergence and stability of the network are discussed,using Lyapunov theory.
出处
《重庆大学学报(自然科学版)》
EI
CAS
CSCD
1997年第6期80-84,共5页
Journal of Chongqing University
关键词
鞍点
鞍泛函
非光滑分析
极小极大问题
神经网络
saddle points
convergence / saddle functional
nonsmooth analysis
nonsmooth minimax network