This NNC is utilized by way of associative memory.
网络的使用利用联想记忆法则。
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。
Computer simulations on its associative memory are carried out.
在计算机上对其关联存储能力进行了模拟计算。
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。
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。
Optical implementation of the reflexive associative memory is also presented in this paper.
文中并提出了自反关联存储器的光学实现方法。
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。
Secondly, the complexity of fully-connected kernel auto-associative memory models is reduced.
对全互连的核自联想记忆模型框架进行了稀疏化改造。
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。
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。
Finally, we apply neural network models with dynamic depressing synapses in the field of associative memory.
最后对抑制型动态突触神经网络在联想记忆中的应用进行了研究。
Furthermore, the associative memory for the similar patterns and multi -values patterns can also be completed by the method.
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。
The active control of structural free vibration using fuzzy associative memory networks controller is studied in this paper.
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。
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。
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。
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。
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。
Two neuron cells for the negative weight and the associative memory storage suitable for monolithic implementation is introduced.
提出了实现负权值及存储联想矢量的两个开关电流单元电路；
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。
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。
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。
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。
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。
On the basis of aforesaid work, the author further proposes robust face recognition algorithms based on sparse kernel auto - associative memory models.
在上述工作的基础上，本文主要研究了基于小世界体系的指数核自联想记忆模型在人脸识别中的应用。
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。
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。
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.
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.
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。
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