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1)  diasporic experience
离散经历
1.
Among all the causes behind this particularity,the translator s diasporic experience plays an important role in the choice of source texts,the formation of translator s psychology and the adoption of translation strategy.
在决定译文这种特别面貌的各种因素中,辜鸿铭本人独特的离散经历对他的翻译心理、译本的选择及翻译策略的采用起着关键的作用。
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-type neural network
离散Hofield神经网络
6)  discrete-time neural networks
离散神经网络
1.
Exponential stability of discrete-time neural networks with multiple delays;
多重时滞离散神经网络的指数稳定性
2.
Synchronization of delayed discrete-time neural networks
时滞离散神经网络的同步控制
补充资料:离散时间周期序列的离散傅里叶级数表示
       (1)
  式中χ((n))N为一离散时间周期序列,其周期为N点,即
  式中r为任意整数。X((k))N为频域周期序列,其周期亦为N点,即X(k)=X(k+lN),式中l为任意整数。
  
  从式(1)可导出已知X((k))N求χ((n))N的关系
   (2)
  式(1)和式(2)称为离散傅里叶级数对。
  
  当离散时间周期序列整体向左移位m时,移位后的序列为χ((n+m))N,如果χ((n))N的离散傅里叶级数(DFS)表示为,则χ((n+m))N的DFS表示为
  

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