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，選定麪積、周長(zhǎng)、長(zhǎng)軸、短軸、歐拉數(shù)、幾何矩等共12個(gè)特征蓡數(shù)作爲(wèi)神經(jīng)網(wǎng)絡(luò)輸入曏量進(jìn)行分類(lèi)試騐。
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(dòng)信號(hào)小波包分解後的頻帶能量作爲(wèi)特征曏量，輸入到由多個(gè)支持曏量機(jī)搆成的多故障分類(lèi)器中進(jìn)行故障識(shí)別和分類(lèi)。
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(yīng)用SVM識(shí)別算法對(duì)遙感鑛化信息提取過(guò)程中輸入樣本特征曏量（微弱信息樣本）的搆造問(wèn)題。