feature subset selection

基本解釋

So, feature subset selection becomes one of the important research issues in the process of microcalcification identification.
因此，特征子集選擇問(wèn)題成爲(wèi)微鈣化點(diǎn)病變類(lèi)型識(shí)別中的重要問(wèn)題。
In view of the deficiencies in traditional combination optimization method, an algorithm of feature subset selection based on genetic algorithm is proposed in this paper.
該文針對(duì)傳統(tǒng)優(yōu)化方法用於特征選擇的種種缺陷，提出了基於遺傳算法的特征子集選擇測(cè)算法。
After analyzing problems of the feature subset selection in the field of data mining, a new algorithm of feature subset selection based on the improved genetic algorithm is proposed.
對(duì)數(shù)據(jù)挖掘中的特征子集選擇問(wèn)題進(jìn)行分析，提出了基於改進(jìn)遺傳算法的特征子集選擇算法。

特征提取
The key steps of neural networks pattern recognition are preprocessing and feature subset selection.
神經(jīng)網(wǎng)絡(luò)模式識(shí)別的一個(gè)關(guān)鍵步驟是預(yù)処理和特征提取，對(duì)於手寫(xiě)躰數(shù)字識(shí)別，本文採(cǎi)用了一種基於字符邊緣輪廓的特征提取方法，竝用程序?qū)崿F(xiàn)了這一特征提取過(guò)程。
特征子集選擇