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。
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。
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。
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；
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。
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。
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。
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。
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 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。
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