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连接矩阵的英文

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"连接矩阵"怎么读用"连接矩阵"造句

英文翻译手机手机版

  • adjacency matrix
  • co ectivity matrix
  • connected matrix
  • connection matrix
  • connectivity matrix

例句与用法

  • Cm : cross - connect matrix
    交叉连接矩阵
  • Figure 1 - 7 shows an example of matrix card rows connected by on - board coaxial jumpers
    图1 - 7所示为通过板载同轴跳线连接矩阵卡的例子。
  • Adopting multi - granularity switching in wdm optical networks can dramatically reduce the size of optical cross - connect , which saves the cost of building and maintaining of networks
    摘要在wdm光网络中引入多粒度交换可以有效地减小交换节点中交叉连接矩阵的规模,从而大大降低网络的成本。
  • We have studied how to distill a connection matrix between two nodes in a generalized switched network ; using tarjan ’ s graph partition algorithm and nonseparable two - terminal graph concept , we proposed an effective algorithm
    对从广义开关网络中提取出两点间连接矩阵的方法进行了研究,利用tarjan的拓扑图块划分算法、开关网络中的不可分二端图概念等设计了较有效的算法。
  • We found that the ergodic method used to calculate the symmetries of a multidimensional system would give rise to the computing complexity problem , hi order to avoid the computing complexity problem , we present a novel approach using genetic algorithms for calculating the permutation symmetries of a patterns set and the weight matrix of the network . we design the corresponding computer program with visual c + + 6 . 0 language . and numerical simulat
    并用wsualc语言分别设计了求解网络连接矩阵和给定样本集的置换对称性相应的遍历法和遗传算法的程序,在pc机上进行数值模拟计算,比较遍历法和遗传算法的计算结果。
  • We also prove the following properties : the stable states of the network in the same sh orbit have a same dynamical behavior , such as the size of attraction basin and the energy ; the relation of the symmetry of two isometric networks h and h ' = g - h is s ' h = g - sh - g ~ } for any isometry g , where sh and s ' h are the symmetry of h and h " respectively ; the isometry will not change the dynamical properties of the stable states set of the corresponding networks ; etc .
    ) g的对称性s _ h和s _ n的关系为s _ h = g ? s _ h ? g ~ ( - 1 ) ;等距变换不会改变网络稳定态集的动力学性质等一系列的结论。所有这些研究结果表明了hebb学习法则是通过调整网络的连接矩阵,使得其的结构的对称性包含存储样本集的对称性这一存储机理。
  • Hi the aspect of symmetry analyzing to the hopfield model neural network with hebbian learning , we study on the dynamical behavior of the state space under the action of isometric transformation group g = z2 ? n , and prove the invariant property of the energy orientation ? / / " ) of the state space under the action of g . we find that the symmetry relationship of the network is sx - sw = sh when the active function of the neuron is odd , where sx is the symmetry of the patterns set x under hebbian learning rule , sh is the symmetry of the network and sw is the symmetry of the weight matrix w of the network
    ) s _ n为手段,研究了网络状态空间在群g作用下各点的运动情况,证明了群g作用下的不变性。证明了当神经元的激活函数f为奇函数时, hebb法则下存储样本集x的对称性s _ x 、网络对称性s _ h以及连接矩阵对称性s _ w三者之间满足s _ x = s _ w = s _ h的关系;同时,我们还证明了:网络稳定态集vf同一s _ h轨道中的两个稳定态的动力学行为(能量和吸引域大小)相同;两个等距网络h和h 1 = g ? h , ( ? ) g (
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