节点文献
梯度神经网络的全局H-稳定性与吸引域
On the global convergence of the gradient neural networks and the attractive region of the equilibrium point
【摘要】 提出了在平稳点有限的情况下无约束极小化问题的神经网络求解模型 ,给出了网络的全局稳定性分析以及各个平稳点的吸引域估计 ,证明了网络平衡点集合的全局H 收敛性 .对网络的可靠运行与有效运行提供了理论基础 .
【Abstract】 Neural networks for problems of the global optimization in the case of objective function having a finite number of stationary points are proposed. The attractive region of the equilibrium point is given with the global convergence of the equilibrium point set also studied. Our results present a theoretic basis for the active and efficient movement of the neural networks.
【关键词】 神经网络;
H-稳定性;
极小化问题;
吸引域;
【Key words】 neural networks; H-stability; global optimization; attractive region;
【Key words】 neural networks; H-stability; global optimization; attractive region;
【基金】 国家自然科学基金资助项目 ( 1990 10 2 7)
- 【文献出处】 西安电子科技大学学报 ,Jounal of Xidian University , 编辑部邮箱 ,2001年04期
- 【分类号】TP183
- 【被引频次】1
- 【下载频次】26