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.
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.
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.
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.
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.
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.
多值指数关联联想记忆模型（MMECAM）是一种高存储容量的自联想记忆神经网络。
Modified Multi-valued Exponential Correlation Associative Memory Model (MMECAM) is a neural network with higher storage capacity.
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。
On the basis of aforesaid work, the author further proposes robust face recognition algorithms based on sparse kernel auto - associative memory models.
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。
A new model of neural network associative memory is introduced into the BIT design of radar servo sub-system, which achieves satisfactory effect.
本文讨论了非对称联想记忆模型的若干性质，并给出了在连续和离散两种情况下判别其稳定性的充分条件。
Some properties about the Asymmetric Associative Memory Model(AAM) were discussed and sufficient conditions for the stability of AAM were given both for discrete form and for continuous form.
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。
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.
结合动态核模型中使用的“苹果”的例子，通过对模式(这里把它叫做属性或特征)划分方式的不同与经典的联想记忆模型进行了比较。
The model using the same example as apple is compared with a classic associative model by the way of classifying the patterns what we named here the properties in a distributed manner.
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.
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.
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.
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。
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.
作为仿生神经元数学模型，随机神经网络在联想记忆、图像处理、组合优化问题上都显示出较强的优势。
As a biological neural mathematical model, RNN has particular advantages of associative memory, image processing and combinatorial optimization.
作为仿生神经元数学模型，随机神经网络在联想记忆、图像处理、组合优化问题上都显示出较强的优势。
As a biological neural mathematical model, RNN has particular advantages of associative memory, image processing and combinatorial optimization.
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