摘要: 通过对连续Hopfield网络模型的抽象,提出了广义连续反馈型神经网络的概念,指出一种不需要构造能量函数对网络模型的稳定性进行分析和判别的方法,同时给出了相应的数学证明。
关键词:
广义连续反馈型神经网络,
Lyapunov函数,
稳定状态
Abstract: This paper defines the concept of generalized continuous feedback neural network by abstracting the continuous Hopfield neural network model and points out the method which can analyse or distinguish the stability of generalized continuous feedback neural network without constructing Lyapunov energy function.At the same time,the paper provides the relevant proof for it.
中图分类号:
窦全胜;周春光;罗洪文;徐中宇;. 广义连续反馈型神经网络的稳定性[J]. , 2005, 31(24): 25-27.
DOU Quansheng1,2,ZHOU Chunguang2,LUO Hongwen2,XU Zhongyu3. Stability of Generalized Continuous Feedback Neural Network[J]. , 2005, 31(24): 25-27.