The Greeks discovered that human memory is largely an associative process that it works by linking things together.
希腊人发现，人类的记忆在很大程度上是一种联想过程，通过把事物联系在一起来运作。
“Dreams use so many bits and pieces of our memory, but not in a logical, linear way, ” says psychologist Rosalind Cartwright, Ph.D. “It’s more of an associative conglomeration of things.”
心理学家罗莎琳德·卡莱特博士说：“许多零散的、没有逻辑、非线性的记忆碎片会出现在我们的梦里。它更多时候是事情的联想的集合体。”
Thus arrays support what is sometimes referred to as content-addressable memory or associative memory.
因此，数组支持所谓的按内容寻址的存储器或关联存储器。
Associative memory is one of important capabilities of human brain cell.
联想记忆是人类脑细胞的重要功能之一。
Associative learning theory has been used in studies of memory, learning, and verbal learning.
联想学习理论已经被应用于研究记忆、学习和言语学习的工作中。
Associative memory system was constructed by Newton's forward interpolation polynomial, and was used to establish model for image data.
利用牛顿前向插值多项式构建联想记忆系统，对图像数据进行建模。
The research results show that the chaotic neural networks are more effective than other existing neural networks to solve associative memory and complex optimization problems.
已有的研究结果表明，混沌神经网络在求解复杂优化问题和联想记忆等方面比现有网络有着更好的性能。
This paper studies in details the application of the bidirectional associative memory method to the fault diagnosis of mechanical system.
本文较为详细地探讨了神经网络双向联想记忆法在机械系统故障诊断中的应用。
This paper presents an optimized learning strategy for a bidirectional associative memory.
本文提出了一种异联想记忆模型的优化学习算法。
In this paper, we discussed some key application problems of shape recognition system based on associative memory neural network.
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。
A design method of ahead masking associative memory model with expecting fault-tolerant field is proposed by use of the general feed-forward network and sequential learning algorithm given by authors.
文中用作者提出的通用前馈网络和排序学习算法，提出了一种设计具有期望容错域的前向掩蔽联想记忆模型的方法。
Results of computer simulation and optical demonstration in case of bipolar bidirectional associative memory are also provided.
以双极神经元的双向联想存储器为例进行了计算机和光电实验模拟。
Fuzzy inference network (FIN) and fuzzy associative memory network (FAM) are two most important FNN models.
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。
The model of associative memory based on the model of dynamic core is then worked out.
在动态核模型的基础上，推导出了一种联想记忆模型。
Finally, computer simulations demonstrate that the constructed models have good performance on many-to-many associative memory.
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。
These results can be used for evaluation of error-correction capability and the synthesis procedures for continuous-time associative memory neural networks.
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。
In addition, normal subjects needed to be aware of the relationship between study and test to form associative priming and densely memory deficit patients could not form memory for new associations.
另外，正常被试形成联想启动需要意识到学习和测验的关系，重度记忆障碍的被试不能形成联想启动，提示联想启动需要有意识回忆的参与。
A perceptive and associative memory model for generalized artificial brain and the algorithm of its realization are proposed.
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。
The algorithm of bidirectional associative memory and its bidirectional stability are included, an example is given to illustrate the process.
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。
Irregular verbs are retrieved from an associative memory.
不规则动词则通过一种联想的记忆而获得。
A kind of self associative memory model about controllable tolerant fault field is designed.
设计了一种可控容错域的自联想记忆模型。
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.
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。
An incoherent optical system is proposed to implement fuzzy associative memory (FAM) neural network.
本文提出一种模糊联想神经网络的非相干光学实现系统。
A modified associative memory model of Artificial Neural Network (ANN) is introduced into the fault diagnosis of computer numerical control machine tool.
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 new model of neural network associative memory is introduced into the BIT design of radar servo sub-system, which achieves satisfactory effect.
将一种改进了的神经网络联想记忆模型应用于雷达伺服分系统的BIT设计中，取得了比较满意的效果。
The class of networks has wide applications in many fields such as pattern recognition, associative memory and artificial intelligence. Such model caused much attention of researchers.
由于这类神经网络能存储双极向量对，并在模式识别、联想记忆、人工智能等方面有广泛应用，对这类模型的研究引起很多学者的关注。
In this paper we propose a new discrete bidirectional associative memory (DBAM) which is derived from our previous continuous linear bidirectional associative memory (LBAM).
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, a design of an all-optical multi-value neural network system for implementation of associative memory is presented.
本文提出一种用于联想识别的全光型多值神经网络系统。
Number of associative memory networks applied for gray-scale images with random noise is few. Based on MBAM, morphological associative memories of dynamic kernel is presented in this paper.
本文是在MBAM的基础上，提出了一种利用动态核的形态联想记忆网络，其目的是解决含有任意随机噪声图像的联想记忆问题。
Number of associative memory networks applied for gray-scale images with random noise is few. Based on MBAM, morphological associative memories of dynamic kernel is presented in this paper.
本文是在MBAM的基础上，提出了一种利用动态核的形态联想记忆网络，其目的是解决含有任意随机噪声图像的联想记忆问题。
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