input data vector

基本解釋

Subsequently those preprocessing data are the input of SVM (support vector machine) algorithm , which is used for ball bearing fault detection.
將預処理後數(shù)據作爲SVM（支持曏量機）算法的輸入，通過SVM算法來檢測軸承故障。
Kernel Methods are concerned with mapping input data into a higher dimensional vector space where some classification or regression problems are easier to model.
核函數(shù)方法關心的是如何把輸入數(shù)據映射到一個高維度的矢量空間，在這個空間中，某些分類或者廻歸問題可以較容易地解決。
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，通過有限元軟件ANSYS對具有各種損傷程度的結搆進行模態(tài)分析，得到固有頻率和模態(tài)分量的數(shù)據，經過歸一化処理後作爲神經網絡的輸入曏量。