associative memory
英 [əˈsəʊʃiətɪv ˈmeməri]
美 [əˈsoʊʃiətɪv ˈmeməri]
联想记忆；（计算机的）联合存储器
双语例句
- Optimization for Attraction Domain of Hopfield Associative Memory with Genetic Algorithm;
分析了双向互联想记忆网络的算法结构。 - 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。 - A Method of Designing Discrete Hopfield Associative Memory Neural Networks and Its Application
离散Hopfield联想记忆网络的设计新方法及应用 - A Design Method of Ahead Masking Associative Memory Model with Expecting Fault-Tolerant Field
具有期望容错域的前向掩蔽联想记忆模型的设计方法 - Associative memory in file structure
文件结构中的相联存储器 - 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。 - Approach for Multi-granularity and Many-to-many Associative Memory Based on Incidence of Patterns
基于模式关联的多粒度多对多联想记忆模型 - Associative Memory with Anti-spurious-state Based on Nonlinear Function Constitution
基于非线性内电位构造函数的抗伪状态联想记忆 - Pronunciation associative memory is a high effective memorizing strategy.
语音联想记忆是一种高效的记忆方法。 - A Projection Learning Rule Associative Memory Model Based on Small-World Architecture
基于小世界体系的投影学习联想记忆模型研究 - Associative memory function of word learning system can be further improved by utilizing pronunciation based vocabulary network.
语音词汇网的引入能进一步完善单词学习系统的联想记忆功能。 - Designation of Complex-valued Hopfield Associative Memory with Prespecified Attractive Domain
吸引域给定的复值Hopfield联想记忆器的设计 - Besides the features of traditional expert system, NGESEP has the machine learning function by means of FAM ( fuzzy associative memory) neural network.
该系统除具有传统专家系统的特点外，还因使用模糊联想记忆（FAM）神经网络模型而具有良好的学习功能。 - Associative memory system based on discrete taylor series
基于离散泰勒级数的新型联想记忆系统 - On the other side of the debate are dual-mechanism approaches which posit that regular verb forms are computed in a rule-processing system while irregular verbs are processed in associative memory.
联结主义认为使用单一机制的神经网络系统足以解释规则和不规则语素变体；双机制则认为需要规则系统和联想记忆两个不同的机制对此进行解释。 - Combining with the theory of cognitive process, a novel method for associative memory is proposed to enlarge the memory capability and enhance the associative success rate.
在对联想记忆神经网络的研究中，为提高现有联想记忆网络的存储能力以及相似模式和多值模式的联想成功率，提出了一种新的联想记忆网络。 - Energy saving optimization of water-driving motor based on associative memory system
基于联想记忆系统的注水机组节能优化 - An Implementation Model for Multi-Granularity and Many-to-Many Associative Memory
多粒度多对多联想记忆的一种实现模型 - 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）。 - An Algorithm for Face Recognition with Single Training Image per Person Based on Associative Memory Neural Network
一种基于联想记忆神经网络的单训练样本人脸识别算法 - Linear Associative Memory and Its Application to Autocontrol
线性联想存贮器在自动控制中的应用 - Modified Multi-valued Exponential Correlation Associative Memory Model ( MMECAM) is a neural network with higher storage capacity.
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。 - Associative memory is a basic function of human brain.
联想记忆是人脑的一项重要功能。 - Based on the network, learning system can realize pronunciation associative memory function, and can provide relevant statistical data.
利用该网络，学习系统不但可以实现语音联想功能，还能提供语音方面的相关统计信息。 - Learning algorithm for parameterized fuzzy associative memory
参数化模糊联想记忆网络的学习算法 - 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。 - Researches on Sparsely Connected Associative Memory and Its Complex Network Realization
稀疏互联联想记忆及其复杂网络实现 - An associative memory network with spatiotemporal chaos control is investigated in this paper.
本文提出了一种具有时空混沌控制的联想记忆网络。 - 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。 - And the strong fault tolerance and associative memory function of the neural network contribute to digital image processing.
而且神经网络较强的容错能力和联想记忆功能，有助于对噪声图像的数据及对压缩后信息不完全图像的恢复，在数字图像处理方面有更多的优势。