hopfield neural network中文是什么意思

• 霍普菲尔德神经网络

• neural network    【计算机】模拟脑神经元网络〔一种模拟人脑神经细胞的电脑系 ...
• hopfield network    霍普菲尔网络
• neural network    【计算机】模拟脑神经元网络〔一种模拟人脑神经细胞的电脑系统〕。
• alternating projection neural network    交替投影神经网络
• ann artificial neural network    人工神经网络
• articificial neural network    类神经网络
• artificial neural network    类神经网路; 人工神经网络
• artificial neural network (ann)    类神经网络
• artificial neural network system    人工神经元网络系统
• biological neural network    神经网络
• chaotic neural network    混沌神经网络
• cnn cellular neural network    蜂窝神经网络
• cnn computational neural network    计算的神经中枢网
• connectionist neural network    连接机制神经网络
• european neural network society    欧洲神经网络学会; 欧洲神经元网络
• feed-forward neural network    反向传输神经网络
• fnn fuzzy neural network    模糊神经网络
• fuzzy neural network    模糊神经网络
• fuzzy-neural network    模糊神经网络
• higher order neural network    高阶神经网络
• hnn hybrid neural network    混合神经网络
• ieee neural network council    ieee神经网络委员会
• japanese neural network society    日本神经网络协会
• knowledge and neural network    知识和神经网络
• mp neural network    mp神经网络

• The study of the feedback neural network , the analysis of the work principle of hopfield neural network lead to a neural network model with chaotic character
  对反馈神经网络进行了研究，在分析现有混沌神经网络的工作原理的基础上，提出一种新的混沌神经网络模型。
• In chapter 4 , the dynamic behavior of asymmetric discrete hopfield neural networks and asymmetric discrete hopfield neural networks with delay are primarily investigated
  第四章主要对非对称离散hopfield神经网络和带有延迟项的非对称离散hopfield神经网络的动态行为进行了研究。
• In this dissertation the author proposed a kind of sub - optimum algorithm , a hybrid detector based on stochastic hopfield neural network ( shnn ) and reduced detector ( rd ) for cdma
  本文提出一种次最优多用户检测算法：基于随机hopfield网络和精简检测器的混合cdma多用户检测器。
• This paper is focused on estimating the domains of attraction of equilibrium points for hopfield neural networks with delays and stabilizing a class of time - delays neural networks via standard feedback control
  本学位论文主要研究了时延hopfield神经网络平衡点吸引域估计以及通过标准反馈控制使一类时延神经网络稳定化。
• The network ' s structure is similar to that of hopfield neural network , but it has richer and more flexible dynamics than hopfield neural network , namely , only point attractors , so that it has higher ability of searching global optimal or near - optimal solutions
  该网络具有瞬态混沌响应，类似于hopfield网络的结构，但是有比hopfield网络更加丰富的动力学特征、更强的全局搜索能力。
• To overcome the defaults of traditional algebra - based methods such as high gain , repetitive computation and disability of real - time solution , in this paper , we propose a novel method design of observers using hopfield neural network
  为了克服传统上用代数方法设计状态观测器时增益过大、重复计算以及不能满足适时性等缺点，本文提出了一种基于hopfield神经网络的观测器设计方法。
• This text discusses the applying of hopfield neural net work and the transient chaos neural network in multiuser detection . the transient chaos neural network has more abundant dynamics characteristic than the hopfield neural network
  讨论了hopfield神经网络和暂态混沌神经网络在多用户检测器中的应用,暂态混沌神经网络具有比hopfield网络更为丰富的动力学特性,可有效提高网络全局最小值的搜索能力。
• ( 3 ) the paper has studied the structure and stability of hopfield feedback neural network . and it uses the lyapunov method to analysis the stability of the th neural network , which id mended from hopfield neural network
  ( 3 )研究了hopfield反馈神经网络的结构和稳定性，并深入讨论了稳定性分析的lyapunov第二方法(亦称为直接法) ，利用lyapunov方法分析了hopfield神经网络改进网络? th神经网络的稳定性。
• Chapter 3 investigates the estimation of the domains of attraction of equilibrium points for hopfield neural networks with delays , where hopfield neural networks with discrete and distributed delays are considered . we derive a sufficient condition for an equilibrium point to be locally exponentially stable
  分别针对带离散时间延迟和带分布式时间延迟的hopfield神经网络,得出了平衡点局部指数稳定的充分条件,同时提出了一种指数稳定平衡点的吸引域的估计方法。
• As for the representation of the individuated pattern - base , we introduces a new classification representation method based on multi - users and multi - topics , so as to make each profile only denote one user ' s one topic . this method makes it possible to express explicitly the user ' s interest . as for the creation of the individuated pattern - base , we adopt the hopfield neural network model , which has the function of ample association and remembrance and may be used to associate with the user ' s interest to create the initial individuated pattern - base
  对于个性化模式库的表示，本文给出了一种多用户多主题的分类表示方式，使得每个profile文件只表达一个用户的一个主题，可以更清晰的表达用户的兴趣；对于个性化模式库的建立，本文采用了机器学习中的hopfield神经网络模型， hopfield网络具有丰富的联想记忆功能，可以用来对用户兴趣进行联想，建立用户的初始个性化模式库；对于个性化模式库的维护，采用了基于用户反馈的学习方法。