input feature vector

基本解釋

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.
優(yōu)化特征選擇，選定面積、周長、長軸、短軸、歐拉數(shù)、幾何矩等共12個特征參數(shù)作為神經(jīng)網(wǎng)絡輸入向量進行分類試驗。
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.
該方法將振動信號小波包分解后的頻帶能量作為特征向量，輸入到由多個支持向量機構成的多故障分類器中進行故障識別和分類。
Through SVM algorithm, solving the building problem of input sample feature vector (weak information sample) in the process of extracting mineralizing information from RS data.
解決了應用SVM識別算法對遙感礦化信息提取過程中輸入樣本特征向量（微弱信息樣本）的構造問題。