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layer forwarding in Chinese

Pronunciation:
How to pronounce "layer forwarding""layer forwarding" in a sentence
TranslationMobile
  • 二层转发
Examples
  • The engine controller is in fact a multi - dimensional , complicated non - linear mapping device of the inputs and outputs . therefore with the ability of mapping non - linear and complex functions , the multi - layer forward neural network can be used to establish these relationships based on the experimental data
    发动机控制器实际上就是一个多维的、复杂的传感器输入与控制量输出的非线性映射装置,因此,可以利用多层前向网络所具有的映射复杂非线性函数的性能,在大量数据的基础上建立起该映射关系。
  • Firstly , second harmonic component ratio and dead angles of two phase inrush ' s dispersion in three - phase transformes are acted as input variable . secondly , the method applies improved algorithm based on the original algorithm of multi - layer forward back propagation network , that is to say , adding last variational effect of weight value and bias value to this time and making use of variable learning rate . at the same time , this method also adopts dynamic form in the number of hidden floor node
    首先,文中将三相变压器两相涌流差流的二次谐波含量比和间断角作为网络的输入变量;其次,利用对原有bp网络训练算法基础上的改进型算法(即在计算本次权值和阈值的变化时增加上一次权值和阈值变化的影响以及采用变学习率,与此同时隐含层神经元个数采用动态形式) ,通过样本训练使网络结构模型达到最优。
  • The paper firstly combined the aerodynamic model , pollutant model , traffic model and the optimal operating fans selection model and then established the sample data gaining program to produce the optimal sample data ; secondly , the multi - layer forward neural network and the fuzzy control is combined within an equivalent structure , after the learning of sample data , the neural - fuzzy control system for the road tunnel longitudinal ventilation is produced ; thirdly , the optimal operating fans selection model is replaced by the fuzzy control model to make the tunnel ventilation simulation program , and then the control results under different traffic flow circumstances are evaluated in the matlab environment ; finally , the adaptive ability of the neural - fuzzy control system is discussed
    本文首先结合空气动力学模型、污染模型、交通模型和最优风机开启台数选择模型建立样本数据获取程序,利用该程序产生不同交通流下的最优样本数据;然后,将多层前向神经网络与模糊控制进行结构等价型融合,通过学习最优样本数据,建立公路隧道纵向通风神经模糊控制系统;之后,用此模糊控制模型替代最优风机开启台数选择模型建立基于模糊控制的隧道通风仿真程序,在matlab下模拟仿真不同交通流下的隧道通风以测评控制效果;最后,对神经模糊控制系统的适应性进行了讨论。
  • The method has special obvious advantages to diagnosis the faults when several faults exist simultaneously . the paper constructs a three - layer forward neural network to diagnosis the fault and trains the network with characteristic eigenvectors extracted through the wavelet packet analysis , when training the net using the method of adding inertia item and the bp algorithm of conjugate gradient method , at the same time adapt the initial data of the network through the test
    同时,文中还构造了三层的前向神经网络,以小波包分析提取的故障特征向量作为网络的训练样本数据,采用加惯性因子、共轭梯度法和迭代过程中改变学习率的反向传播算法来对神经网络进行训练,并采用试验的方法调整神经网络的初始值。
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