分类法则 meaning in Chinese

classficatory principle

Even in the practical application involving ambiguous solders , the recognition rate of the proposed method remains as high as 95 . 16 %
并且在无法避免此类焊点的实际应用场合里，本论文所提之分类法则仍有95 . 16 %的辨识率。
A double - bagging machine - learning algorithm was used to train classification rules on the basis of a combination of fdt scores and nerve fiber related visual field losses in swap
在联合fdt评分和swap神经纤维相关的视野缺损基础上用双相机器学习系统排列分类法则。
The major contributions of this work are : ( 1 ) the designed illumination can effectively and robustly highlight solder image features according to the solder types ; furthermore , this simplified lighting can also help in speeding up lighting operation and / or image processing . ( 2 ) the proposed feature set and classification method can not only recognize typical solders precisely , but also identify the ambiguous solders sensitively
本论文研究具有下列特色：（ 1 ）所设计之照明方法不仅能明显区隔不同类型的焊点影像，还能提供实际应用所需要的强健性与简便性；（ 2 ）所提出之特徵分类法则不仅能准确的分辨出各类的典型焊点，尚能针对介于各类型间且易生混淆的焊点加以辨识。