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1·After simple statistics, the dimension can act as the input vector of ANN for PQ classification.

盒维数的简单统计结果可以作为PQ神经网络分类器的输入特征量。

2·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。

3·As the research shows, in the conditions of good input vector, it could achieve high identification accuracy.

研究表明，在输入向量良好的情况下，可以达到较高的识别准确率。

4·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。

5·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。

6·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；

7·A method using combined parameters of natural frequencies and modal components as input vectors for support vector machine is presented in this paper.

提出一种由固有频率和模态分量构成的组合参数作为支持向量机输入向量的方法。

8·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。

9·Optimization of feature selection, we select area, perimeter, long axis, short axis, Euler number, geometric moments, and a total of 12 feature parameters as input vector.

优化特征选择，选定面积、周长、长轴、短轴、欧拉数、几何矩等共12个特征参数作为神经网络输入向量进行分类试验。

10·According to the method, the energy of different frequency bands after wavelet packet decomposition constitutes the input vectors of support vector machine as feature vectors.

该方法将振动信号小波包分解后的频带能量作为特征向量，输入到由多个支持向量机构成的多故障分类器中进行故障识别和分类。