本文關(guān)鍵詞：基于最近鄰規(guī)則的神經(jīng)網(wǎng)絡(luò)訓(xùn)練樣本選擇方法，由筆耕文化傳播整理發(fā)布。

您的位置：首頁(yè) -> 詞典 -> 最近鄰規(guī)則

1)  NN rule

最近鄰規(guī)則

1.

Considering the significance of train sets for the performance of neural networks,the proposed method combined simplicity of nearest neighbor(NN)with high accuracy of neural networks and utilized the modified NN rule to select the most representative samples as a .

針對(duì)這一問(wèn)題,本文將最近鄰法(Nearest neighbor,NN)簡(jiǎn)單快捷和神經(jīng)網(wǎng)絡(luò)高精度的特點(diǎn)相結(jié)合,提出了一種基于最近鄰規(guī)則的神經(jīng)網(wǎng)絡(luò)訓(xùn)練樣本選擇方法。

2)  nearest neighboring rule

最鄰近規(guī)則

3)  K-nearest neighbour rule

K-最近鄰規(guī)則

1.

Study of segmentation algorithm of brain MRI based on K-nearest neighbour rule with threshold segmentation;

基于閾值分割的K-最近鄰規(guī)則的磁共振腦圖像分割算法的研究

4)  nearest neighbor decision rule

最近鄰決策規(guī)則

1.

A novel human face recognition method based on local singular value decomposition and nearest neighbor decision rule has been proposed,its essential contents can be listed as follows.

提出了一種基于局部奇異值分解和最近鄰決策規(guī)則的人臉圖像識(shí)別方法。

更多例句>>

5)  most adjacent principle

最鄰近法則

6)  nearest distance rule

最近鄰準(zhǔn)則

1.

Firstly KPCA is used to extract the features of human face image, and then SVM combined with the nearest distance rule is used for classification, which depends on the kernel principal components .

該方法首先利用核主元分析對(duì)人臉圖像進(jìn)行特征提取,然后依據(jù)支持向量機(jī)與最近鄰準(zhǔn)則對(duì)所提取的核主元特征進(jìn)行分類識(shí)別。

補(bǔ)充資料：Nearestneighbor(近鄰取樣)

nearest neighbor (近鄰取樣)

又被稱為point sampling(點(diǎn)取樣)，是一種較簡(jiǎn)單材質(zhì)影像插補(bǔ)的處理方式。會(huì)使用包含像素最多部分的圖素來(lái)貼圖。換句話說(shuō)就是哪一個(gè)圖素占到最多的像素，就用那個(gè)圖素來(lái)貼圖。這種處理方式因?yàn)樗俣缺容^快，常被用于早期3d游戲開發(fā)，不過(guò)材質(zhì)的品質(zhì)較差。

說(shuō)明：補(bǔ)充資料僅用于學(xué)習(xí)參考，請(qǐng)勿用于其它任何用途。

  本文關(guān)鍵詞：基于最近鄰規(guī)則的神經(jīng)網(wǎng)絡(luò)訓(xùn)練樣本選擇方法，，由筆耕文化傳播整理發(fā)布。