摘要
本文用神经元的激励函数为严格阈值函数的McCulloch-Pitts模型对目前出现于文献中的几种离散Hopfield神经网络作了统一描述,从而给这些网络的分析和综合提供了一条系统清晰的思路。
This paper makes a unified representation for several types of discrete-time Hopfield neural networks appearring in the literature currently with McCulloch-Pitts model which neuron acti- vation function is a strict threshold function and, hence, provides a systematic and clarified idea for the analysis and synthesis of these networks.
出处
《安徽大学学报(自然科学版)》
CAS
1993年第2期6-10,共5页
Journal of Anhui University(Natural Science Edition)
关键词
离散
HOPFIELD
神经网络
M-P模型
discrete-time Hopfield neural networks
McCulloch-Pitts model
strict threshold function
unified representation