Projection type neural network and its convergence analysis
Youmei LI
Feilong CAO
摘要：Projection type neural network for optimization problems has advantages over other networks for fewer parameters , low searching space dimension and simple structure. In this paper, by properly constructing a Lyapunov energy function, we have proven the global convergence of this network when being used to optimize a continuously differentiable convex function defined on a closed convex set. The result settles the extensive applicability of the network.Several numerical examples are given to verify the efficiency of the network.
机标关键词：
分类号：TP3(计算技术、计算机技术)
资助基金：国家自然科学基金(60473034)
论文发表日期：2006-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：5( 286-290 )
英文信息