联想记忆是人类脑细胞的重要功能之一。
Associative memory is one of important capabilities of human brain cell.
设计了一种可控容错域的自联想记忆模型。
A kind of self associative memory model about controllable tolerant fault field is designed.
协同联想记忆网络的若干关键理论问题研究。
Gao jun bao jie. some key theory problems about synergetic associate memory.
本文提出了一种异联想记忆模型的优化学习算法。
This paper presents an optimized learning strategy for a bidirectional associative memory.
在动态核模型的基础上，推导出了一种联想记忆模型。
The model of associative memory based on the model of dynamic core is then worked out.
对全互连的核自联想记忆模型框架进行了稀疏化改造。
Secondly, the complexity of fully-connected kernel auto-associative memory models is reduced.
本文主要研究了模糊双向联想记忆网络的最大极限环长度。
The maximum length of limit cycles for fuzzy bidirectional associative memories ( FBAM ) is studied in this paper.
提出一种广义人工脑感知联想记忆模型，给出它的实现算法。
A perceptive and associative memory model for generalized artificial brain and the algorithm of its realization are proposed.
尤其可以有效地实现相似模式以及多值模式的联想记忆功能。
Furthermore, the associative memory for the similar patterns and multi -values patterns can also be completed by the method.
首先介绍了双向联想记忆的模型和算法，接着给出一个应用例子。
The algorithm of bidirectional associative memory and its bidirectional stability are included, an example is given to illustrate the process.
并从理论上详细地分析了网络的联想记忆过程和性能提高的原因。
The process of network association and the reason of performance improvement are also given in detail by theoretic analysis.
基于神经网络自联想记忆功能，提出了一种新的数字图像水印算法。
A novel digital image watermarking algorithm based on the association memory ability of neural network is proposed in this paper.
这些结果可用于连续反馈联想记忆网络的容错性能评价以及综合过程。
These results can be used for evaluation of error-correction capability and the synthesis procedures for continuous-time associative memory neural networks.
最后的计算机模拟，证实了新的模型具有良好的多对多联想记忆功能。
Finally, computer simulations demonstrate that the constructed models have good performance on many-to-many associative memory.
本课题针对联想记忆网络形状识别系统应用中出现的若干关键问题进行了深入研究。
In this paper, we discussed some key application problems of shape recognition system based on associative memory neural network.
利用阶梯输出函数的各“台阶”记忆不同灰度，实现了灰度模式的CNN联想记忆。
Using the different steps of the multi-step output function to store different values of pixels, the CNN associative memory of gray-scale patterns is realized.
模糊推理网络(FIN)和模糊联想记忆网络(FAM)是两种最重要的FNN模型。
Fuzzy inference network (FIN) and fuzzy associative memory network (FAM) are two most important FNN models.
提出了将一种改进的人工神经网络联想记忆模型应用于计算机数控机床的故障诊断方法。
A modified associative memory model of Artificial Neural Network (ANN) is introduced into the fault diagnosis of computer numerical control machine tool.
介绍了应用于灰度图像的联想记忆和识别的动态核方法，给出了动态核选择的原则和途径。
A method of dynamic kernel used to association and recognition of gray - scale images is presented. The principle and approach to choose the dynamic kernel is given.
提出了一种基于连续的线性双向联想记忆(LBAM)的离散双向联想记忆(DBAM)。
In this paper we propose a new discrete bidirectional associative memory (DBAM) which is derived from our previous continuous linear bidirectional associative memory (LBAM).
多对多联想记忆的核心是如何实现一对多联想记忆，也即是如何识别记忆模式中的公共项。
The core of associative memory for many to many associations is how to realize associative memory for one to many associations, that is, how to recognize common items in memory patterns.
数独和填字谜游戏被说成是可以改善联想记忆的技能，然而批评者们认为只有用上那些填字游戏才知道。
Sudoku and crossword puzzles are said to improve memory association skills, though critics believe only when put to task by those puzzles.
本文利用模糊联想记忆神经网络作为控制器，对任意初始状态的结构自由振动进行主动控制。
The active control of structural free vibration using fuzzy associative memory networks controller is studied in this paper.
反馈神经网络是神经网络中最重要的类型之一，这种网络的突出特点就是它具有联想记忆的功能。
Feedback neural network is one of the most important neural network, the most remarkable feature of this kind of network is the associative memory function.
联想记忆的实现一直是人工神经元网络研究的方向之一，其中一个重点就是实现多对多联想记忆。
The realization of associative memory is always the one of researching directions of artificial neural networks and the key problem is to realize associative memory for many to many associations.
本文将心理语言学中的联想理论应用于词汇记忆，介绍了几种联想记忆方法，并指出其中的缺陷。
We re attempting to apply the association theory, one of memory tools, to the field of vocabulary learning.
第二层为异联想记忆层，利用模式间异联想（IHA）网络对输入模式的二值编码进行联想记忆。
In the second level, the recall of the input pattern are processed by using internpattern hetero-association (IHA) model.
第二层为异联想记忆层，利用模式间异联想（IHA）网络对输入模式的二值编码进行联想记忆。
In the second level, the recall of the input pattern are processed by using internpattern hetero-association (IHA) model.
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