1) fuzzy bases
模糊基
1.
The Judgement of Fuzzy Bases for Closed Fuzzy Matroids;
闭模糊拟阵模糊基的判定
2.
Then,the relations between the fuzzy bases and the fuzzy circuits in closed regular fuzzy matroids are studied, and some necessary and sufficient conditions for some fuzzy independent set to be a fuzzy base; some fuzzy circuits from a fuzzy base, and some fuzzy bases from a fuzzy circuit are investigated.
根据传统拟阵的基交换定理,作者给出了闭正规模糊拟阵的基交换定理,得到了一系列结论,并在此基础上进一步研究了闭正规模糊拟阵的模糊基与模糊圈之间的关系,然后给出了闭正规模糊拟阵中某模糊独立集是模糊基、从一个模糊基得到一些模糊圈、以及从一个模糊圈得到一些模糊基的充要条件。
3.
Basing on the existing theory of crisp matroids and fuzzy matroids, the paper studies mainly closed regular fuzzy matroids including its sub-matroid when it’s good-base; the exchange of fuzzy bases; the relations between the fuzzy bases and the fuzzy circuits; defining the base-graph and studying its properties.
本文在现有拟阵和模糊拟阵理论的基础上主要研究了闭正规模糊拟阵,包括闭正规基好模糊拟阵的子拟阵;闭正规模糊拟阵的基交换;闭正规模糊拟阵模糊基与模糊圈之间的关系;定义了闭正规模糊拟阵的基图,并且研究了它的性质。
2) fuzzy base
模糊基
1.
We investigate some conditions that fuzzy subsets make up of fuzzy bases to be similar to the base axiom.
文章类似于一般拟阵的基公理讨论模糊集族构成模糊基集所要满足的一些条件。
3) fuzzy filter
模糊滤基
1.
Extension of fuzzy filter convergence theory;
模糊滤基收敛理论的推广
4) fuzzy cardinality
模糊基数
1.
This paper points out that the limit theory,without distinction of different infinity,covers unstrictness of classical calculus; and that, on the basis of the study of the fuzzy property of infinity, it is necessary to introduce fuzzy cardinality.
在讨论了无限的模糊性之后，指出引进模糊基数的必要性。
5) subfuzzy bases
次模糊基
6) fuzzy basis function
模糊基函数
1.
An on-line tracking self-learning algorithm for fuzzy basis function(FBF)neural network classi- fier is proposed in this paper.
提出了一种用于分类的模糊基函数(FBF)神经网络在线跟踪自学习算法,通过带有遗忘因子的样本均值和样本协方差矩阵,保存了原始样本所包含的类可能性分布信息,并在此基础上产生新增样本的目标输出用于训练FBF网络,以实现分类边界的在线跟踪;给出了带有遗忘因子的样本均值和样本协方差矩阵的递推算法,以克服传统方法需要保存大量以往训练样本带来的困难。
2.
Most of the existing intelligent fault diagnosis systems are lack of the ability to track the operation behavior of the machine,thus a online tracking self-learning algorithm for the fuzzy basis function(FBF) network was researched,which was used in the behavior-based intelligent fault diagnosis system.
针对现有绝大多数智能故障诊断系统自适应跟踪设备行为变化能力的不足,对基于行为的智能化故障诊断系统中模糊基函数网络的在线跟踪自学习算法进行了研究,提出了一种在线跟踪故障分类边界的自学习算法。
3.
The support vectors which are used for confirming the fuzzy basis function and creating the corresponding fuzzy rules were extracted from the training samples by the learning mechanism of SVM, and the fuzzy reasoning model was build up as a result.
该建模方法应用支持向量机的学习机制从训练样本中提取支持向量,由支持向量确定模糊基函数,产生相应的模糊规则,建立起模糊推理模型。
补充资料：2-甲氧基碳酸基乙基胺基乙基胺基丙基三甲氧基硅烷
CAS: 1067-66-9
分子式: C12H28N2O5Si
分子量: 308.45
中文名称: 2-甲氧基碳酸基乙基胺基乙基胺基丙基三甲氧基硅烷
英文名称: [N'-(2-Methoxycarbonylethyl)aminoethylaminopropyl]trimethoxysilane
10-diaza-3-silatridecan-13-oic acid, 3,3-dimethoxy-2-oxa- methyl ester
n-(2-((3-(trimethoxysilyl)propyl)amino)ethyl)-beta-alanin methyl ester
methyl 3,3-dimethoxy-2-oxa-7,10-diaza-3-silatridecan-13-oate
methyl[2-(3-trimethoxysilylpropylamino)-ethylamino
分子式: C12H28N2O5Si
分子量: 308.45
中文名称: 2-甲氧基碳酸基乙基胺基乙基胺基丙基三甲氧基硅烷
英文名称: [N'-(2-Methoxycarbonylethyl)aminoethylaminopropyl]trimethoxysilane
10-diaza-3-silatridecan-13-oic acid, 3,3-dimethoxy-2-oxa- methyl ester
n-(2-((3-(trimethoxysilyl)propyl)amino)ethyl)-beta-alanin methyl ester
methyl 3,3-dimethoxy-2-oxa-7,10-diaza-3-silatridecan-13-oate
methyl[2-(3-trimethoxysilylpropylamino)-ethylamino
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