1) recognition rule of law
规律识别准则
2) law recognition
规律识别
1.
Rough law F-decomposition and law recognition;
粗规律F-分解与规律识别
2.
Rough data law recognition on the basis of S-rough set theory;
基于S-粗集的粗数据规律识别
3) recognition criterion
识别准则
1.
With these concepts,the state characteristics of the system law when intruding by-law,the recognition of the state characteristics,the recognition criterion and applications are all discussed in this paper.
利用这些概念,本文给出系统被■-规律入侵呈现的特征与对这些特征的识别,识别准则与应用。
4) recognition criteria
识别准则
1.
Based on the dual of function S-rough sets,the concept law generation of system state is put forward,the first theorem and the second theorem of recognition of system state are presented,and the recognition criteria are given;from the results above,an application of function S-rough sets inrecognition of system state is offered.
利用函数单向S-粗集对偶,给出系统状态规律生成概念;提出系统状态识别第一定理与第二定理,给出系统状态识别准则。
5) recognition rule
识别规则
1.
It gave many recognition rules and algorithms about different features.
本文提出了基于特征实体模型上的截面轮廓造型自动特征识别方法 ,并制定了一系列各类特征的合理识别规则和识别算法。
6) recognition rules
识别规则
1.
GECISM is a rule for matching detection based computer immune system whose performance directly relates to how much these recognition rules can represent the features of self and nonself,so extracting effective recognition rules is the key theme to implement GECISM system.
GECISM(GEneral computer immune system model)是基于规则匹配检测的计算机免疫系统,免疫识别规则对“自我”和“非我”特征的表征能力直接影响到GECISM的性能,所以挖掘高效免疫识别规则的是GECISM的一个重要研究内容。
2.
GECISM is a rules matching based computer immune system whose performance directly relates to how much these recognition rules can represent the feature of self and nonself,so mining effective recognition rules is the key theme to implement GECISM system.
GECISM(GEneral Computer Immune System Model)是基于规则匹配检测的计算机免疫系统,免疫识别规则对“自我”和“非我”特征的表征能力直接影响到GECISM的性能,所以挖掘高效免疫识别规则是GECISM的一个重要研究内容。
补充资料：矛盾规律(见对立统一规律)
矛盾规律(见对立统一规律)
law of contradiction
mQOCun gu】j口、矛盾规律(lawof eon‘radietion)统一规律。见叶主
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