双向联想记忆,Bidirectional associative memory
1)Bidirectional associative memory双向联想记忆
1.Enlightened by the fundamental idea of MCS, the ensemble is introduced into the quick learning for bidirectional associative memory (QLBAM) to construct a BAM ensemble, for improving the storage capacity and the error-correction capability without destroying the simple structure of the component BAM.受MCS基本思想的启发,将集成引入到双向联想记忆快速学习(QLBAM)中,构建出一个BAM集成,旨在提高存储容量和纠错性能的同时,不破坏每个成员BAM的简单结构。
2.C C Wang and coworkers built a decision making model consisting of multiple bidirectional associative memory (Multi BAM) through BAM with equal priviledge, applied it to the decision making multiple experts, and obtained its decision making performance.C C Wang等利用 Kosko的双向联想记忆模型 (Bidirectional associative memory,BAM) ,构造了由多个 BAM构成的多重 BAM(Multi- BAM)决策模型 ,使之可以应用于多证据推理 ,获得了 Multi- BAM的决策性能。
3.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）。
英文短句/例句
1.Research on Fuzzy Morphological Bidirectional Associative Memories;基于模糊形态双向联想记忆网络的研究
2.Qualitaticce Study of Bidirectional Associative Memory Neural Networks with Delays;时滞双向联想记忆神经网络的定性研究
3.Dynamics Behaviors for a Class of Bi-directional Associative Memory Neural Network;一类双向联想记忆神经网络的动力学行为研究
4.Exponential Stability of Self-connection BAM Neural Networks;时延双向联想记忆器的全局指数稳定性
5.The Length of Limit Cycles For Fuzzy Bidirectional Associative Memories and Algorithms to Compute the Period Index of Fuzzy Matrix;模糊双向联想记忆网络的极限环长度及模糊矩阵周期算法
6.Global Exponential Stability of Delayed BAM Neural Networks with Reaction-diffusion Terms;带反应扩散项的时滞双向联想记忆神经网络的全局指数稳定性
7.Stability and Hopf Bifurcation of a BAM Neural Network双向联想记忆（BAM）神经网络模型的稳定性和Hopf分支分析
8.Application of Improved Bidirectional Associative Memerory Network on Condenser Fault Diagnosis改进的双向联想记忆网络在凝汽器故障诊断中的应用
9.Calculation of Delay-induced Synchronized Periodic Solution in a Bi-directional Associative Memory Neural Network双向联想记忆神经网络时滞诱发的同步周期解的计算
10.On Properties of Fuzzy Bidirectional Associative Memories Based on Triangular Norms基于三角模的模糊双向联想记忆网络的性质研究
11.Dynamics of Bidirectional Associative Memory Neural Networks with VariableCoeffcients and Infinite Delay具变系数和无穷时滞的双向联想记忆神经网络的动力学行为(英文)
12.conditioning is a form of learning by association.联想是记忆的一种方法。
13.Investigation on Two-way Shape Memory Effect and Driving Characteristics of Shape Memory Alloys;形状记忆合金双向记忆效应及驱动特性研究
14.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.
15.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
16.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
17.Visualization refers to associating what we want to remember with information we have remembered.联想旨在将我们要记忆的与已记忆的信息联系起来。
18.the state of being connected together as in memory or imagination.在记忆和想象中联系在一起的状态。
相关短句/例句
bi-directional associative memory双向联想记忆
1.Global stability of equilibrium point of a class of second orderbi-directional associative memory neural network with delays is discussed in this paper.讨论了二阶时滞的双向联想记忆神经网络平衡点的全局稳定性 ,利用 L yapunov函数和不等式技巧得到了网络平衡点的全局渐近稳定和全局指数稳定的几个充分条件 。
2.A general model for multi-valuedbi-directional associative memory (BAM) is presented.通过引入模式相似度的概念,给出了一个一般的多值双向联想记忆模型。
3.An extended multi-valued exponentialbi-directional associative memory (EMV-eBAM) model is presented in this paper based on Wang抯 MV-eBAM model, which is a special case of EMV-eBAM (extended MV-eBAM).推广了Wang的多值指数双向联想记忆(multi-valued exponential bi-directional associative memory,简称MV-eBAM)模型,使其成为所提出的推广的多值指数双向联想记忆 (extended MV-eBAM,简称EMV-eBAM) 模型的一个特例。
3)BAM[英][b?m][美][b?m]双向互联想记忆
1.Algorithm of bidirectional associative memory (BAM)is depicted.分析了双向互联想记忆网络的算法结构。
4)bidirectional associative memory (BAM)双向联想记忆(BAM)
5)bi-directional associative memory neural networks双向联想记忆神经网络
1.Stability analysis of uncertainbi-directional associative memory neural networks with variable delays;不确定双向联想记忆神经网络的稳定性分析
6)fuzzy bi-directional associative memory模糊双向联想记忆网络
1.Efficient learning algorithm for Fuzzy bi-directional associative memory based on Lukasiewicz s t-Norm;基于Lukasiewiczt-模的模糊双向联想记忆网络的有效学习算法
2.A newfuzzy bi-directional associative memory network model is proposed based on fuzzy composition of Max and Einstain’s s-Norm(Max-Ses FBAM).基于模糊取大运算和爱因斯坦s-模提出新的模糊双向联想记忆网络模型(Max-Ses FBAM),并为该网络提出了一种新的学习算法。
延伸阅读
联想记忆联想记忆associative memory1 ianxiang]iyl联想记忆(~istive memo灯)一种记忆系统，在这种系统中，一个输人能特定地唤起所联想的响应。人脑的记忆就是以联想的方式工作的。联想记忆的作用可由图1表示，它执行一种由输人向量X联想映射为输出向量V的变换，即V=M[X]，X任R.，V任R功(1)┌─┐│M │└─┘X一〔xlx:…x.了V~〔。，。:…。.〕T 图1联想记忆框图算子M表示一般的非线性矩阵型算子。随记忆模型不同而有不同的形式。M的初值通常由给定的待存储的原型向量(样本)表达。M的值应满足如下条件:输人向量X后，输出是所存向量中与X最近的向量(或它应联想的向量)。计算M的算法称为记录或学习算法。而由一个包含部分输人信息的向量X通过式(l)进行的映射称为恢复或回忆。假定有P个如下的联想的存储向量对 x，~v、i=1，2，…，P(2)且v、护x，，则网络称为异联想记忆，若v*二x，，则称为自联想记忆。与通常的计算机中按地址存储信息的方式不同，联想记忆是把信息分布存储在算子M(在神经网络中对应于连接权矩阵)中。可以直接由信息的内容去回忆它，因而是一种按内容存储方式。按回忆方式不同可把联想记忆网络分为静态记忆和动态记忆网络。前者执行的是一种对输人的前向映射。动态网络的记忆过程是输人和输出的交互反馈作用。网络经演变收敛于一个平衡点(一般是网络的不动点吸引子)，就是回忆的结果。由于动态网络有较好的容错性，所以是目前最常用的一种，常见的动态记忆网络是场叩neld神经网络模型(用于自联想记忆)和K仍ko的双向联想记忆模型(用于异联想记忆)。从应用观点看，对联想记忆的主要要求一是希望它能存的样本多，即容量大，二是每个样本有较大的容错性，这样才能从不完整的或畸变了的样本恢复它的原型。增大网络规模对上述两个性能是有好处的，但这样做降低了资源利用率，因而通常用允许存储的样本数与网络中神经元总数的比值来表示容量。对给定的网络来说，提高容量与增强容错性往往是矛盾的，研究更好的学习算法和网络结构以达到较大容量并同时保证高的容错能力是很重要的课题。联想记忆在模式识别、图象恢复、智能控制、优化计算以及光学信息处理等领域有很广泛的应用前景，因而在人工神经网络和人工智能研究中都占有很重要的地位。
