1) abnormal samples
特异样本
1.
Simultaneously, verification procedures were implemented based on the abnormal samples\' recognition by Principle Component Analysis (PCA) and the significance test of error deviation in normal assumptions.
基于主成分分析的特异样本判别方法和正态假设下偏差的显著性校验方法,实现了装配准确度的校验。
2) Difference stylebook
异类样本
3) Outlier Sample
奇异样本
4) feature samples
特征样本
1.
To select feature samples in circuit fault diagnosis,we propose a method of cloud-sample generation,and apply it to artificial-neural-network training and recognition.
为了选择电路故障诊断中的特征样本,提出了产生云样本的方法,并用于神经网络的训练和识别。
2.
A nonlinear multi-way independent component analysis (MICA) technique was proposed that is multi-way kernel independent component analysis based on feature samples (FS-MKICA) method.
针对间歇过程的非线性操作特性,提出一种非线性的多向独立成分分析(MICA)方法-基于特征样本的多向核独立成分分析(FS-MKICA)。
6) oddity sample
奇异类样本
1.
Then it suggests a perceptrons study rule based on vector and zero bias through the analyses with oddity sample-unit circle algorithm.
分析了传统的感知机学习方法的不足,通过对包含奇异类样本的分析,提出了基于矢量的零偏置的感知机学习规则:单位圆算法,并证明了该算法的收敛性。
补充资料：特异
1.特别怪异的现象。 2.特殊，不同一般。 3.特别优异。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条