This paper analyzes the problems in data input of digital map publish especially in vector data input, and indicates the importance of multi-source vector data use.

文中分析了当前数字地图出版中数据输入尤其在矢量数据输入方面存在的诸多问题，指出了多源矢量数据利用的重要性。

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Subsequently those preprocessing data are the input of SVM (support vector machine) algorithm, which is used for ball bearing fault detection.

将预处理后数据作为SVM(支持向量机)算法的输入，通过SVM算法来检测轴承故障。

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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。

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