4) active specimen
活动样本
1.
As we know,both of them are based on active specimen,the limitation and stagnation are the character of the active specimen,and the character of associate memory of the HOP neural network can make up the limitation of specimen in pattern-match.
我们知道,它们都是基于活动样本的检测方法,活动样本具有滞后性和有限性,而HOP神经网络的联想记忆特性弥补了模式匹配的样本有限性,基于此该文提出了一种基于HOP神经网络的IDS模型。
5) dynamic samples
动态样本
1.
So the paper researches on dynamic clustering method mostly from two aspects-------static samples and dynamic samples.
本文主要从静态样本和动态样本两方面对动态聚类法进行了研究。
6) sample movement
样本变动
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
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