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1)  discrete hopfield neural network(DHNN)
离散Hopfield神经网络(DHNN)
2)  discrete-time Hopfield neural networks
离散Hopfield神经网络
1.
Stability analysis of discrete-time Hopfield neural networks;
离散Hopfield神经网络的稳定性分析
2.
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.
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。
3)  discrete hopfield neural networks
离散Hopfield神经网络
1.
With the aid of graph theory, the stability of discrete Hopfield neural networks with diagonal block matrix of the connection weight matrix is mainly studied in this paper.
以图论为工具 ,主要对连接权矩阵为对角分块形式的离散Hopfield神经网络的稳定性进行了研究。
4)  discrete Hopfield neural network
离散Hopfield神经网络
1.
Encryption algorithm based on discrete Hopfield neural network;
基于离散Hopfield神经网络的数据加密算法
5)  discrete Hopfield neural networks with delay
延迟离散Hopfield神经网络
1.
The dynamic behavior of discrete Hopfield neural networks with delay is mainly studied by the use of the state transition equation and the energy function,and some results on stability are given.
给出了延迟离散Hopfield神经网络收敛于周期为 4的极限环的一个充分条件 ,获得了延迟网络有稳定状态的条件 ,并且得到了延迟网络既没有稳定状态也没有周期为 2的极限环的条件 。
6)  Discrete Hopfield neural netuork
离散的Hopfield神经网络
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