片语

input pickup vector输入向量

false input vector翻译

Control Input Vector Set控制输入向量集合

input state vector输入状态向量

raw input vector space原始输入向量空间

input data vector输入数据向量

input feature vector输入特征向量

input current vector输入电流矢量

英汉例句

• During the encoding process, the adaptive searching range and sequence are obtained for each input vector in order to reject a lot of unmatched codewords.

  在编码过程中，对于不同的输入矢量，自适应产生不同的动态码字搜索范围及顺序而排除大部分码字。

• When the output vector dimensions equal to the input vector dimensions, the necessary and sufficient conditions for decoupling and complete linearization to nonlinear system are given.

  同时给出了输入输出维数相等时的解耦并完全线性化的充要条件。

• Experimental results show that the feature extraction approach remarkably reduces the dimensionality of the input vector while the characteristics of the signals have been reserved.

  实验结果表明，该信号测量和抽取算法在有效保留信号精度的同时，显蓍地减少了信号特征向量的维数。

• The influence coefficient matrix of the linear axisymmetric triangular element and the input vector expression are derived.

  推导了轴对称线性三角形元的影响系数矩阵和输入向量公式；

• When an arbitrary input vector is provided, it reaches one of patterns which is nearest from the input pattern in distance measure due to the associative capability of the network.

  当输入任一矢量时，由于网络的联想能力，该矢量将进化到与它距离最近的一个存贮模式中。

• Therefore, through structural modal analysis with different damage degree using ANSYS, get natural frequencies and mode shape data as neural network input vector after unitary.

  因此，通过有限元软件ANSYS对具有各种损伤程度的结构进行模态分析，得到固有频率和模态分量的数据，经过归一化处理后作为神经网络的输入向量。

• The input vector is processed by means of mean difference to improve speaker-independent tone and speed up NN training.

  通过对网络输入矢量进行均值差处理，改善了非特定识别的效率，并且加速了网络训练的进程。

• Comparing new input vector constructed by this method with that constructed directly, the dimension of input vector is decreased and capacity of orthogonal among the variables is enhanced.

  介绍了主分量分析法的原理和步骤，由此构成的新矢量，降低了输入矢量的维数，提高了变量间的不相关性。

• The control input vector of the platform was chosen as the particle, and the nonholonomic constrains can be.

  选择平台的控制输入矢量作为粒子，使得非完整约束条件自然被满足。

• In this paper, based on mode shape, the author put forward a new parameter-mode shape curvature ratio for detecting structure damages. And it is also the input vector of the neural network.

  本文基于模态振型，提出一个新的用于结构损伤识别的参数——振型曲率比，并将之作为神经网络的输入向量。

• In case of a single input vector all the output matrices are optional and the predicted value is returned by the method.

  对单个输入向量，所有的输出矩阵是可选的，而且预测值将由该方法返回。