1) non fuzziness cardinality
非模糊基数
1.
A definition of the fuzzy degree of digital image is presented by introducing some concepts in fuzzy mathematics, such as triangular norm operator and non fuzziness cardinality.
文中引进模糊数学中的三角模算子与非模糊基数等概念 ,定义了数字图像模糊度 。
2) non-fuzzy number
非模糊数
3) 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。
4) noncompact fuzzy number
非紧模糊数
1.
In this paper we discussed the completeness and separability of a noncompact fuzzy number general metric space.
讨论了非紧模糊数空间上广义距离d_p,0
2.
The paper mainly deals with fuzzy random variables that take values on noncompact fuzzy number space.
作为理论基础，本文首先在非紧模糊数集上引入广义距离并证明了其完备性与可分性；其次，本文比较了几种非紧模糊随机变量的定义，其结果表明文中提到的几种非紧模糊随机变量就可测性而言是相同的；再次，讨论了非紧模糊随机变量的方差、协方差及其性质；最后初步涉及非紧模糊随机过程的理论。
5) 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。
6) fuzzy basic functions
模糊基函数
1.
A fuzzy direct adaptive control is designed for GDROV motion control by using fuzzy basic functions to approximate the optimal control output and by adjusting the adaptive law with fuzzy logic dynamically.
采用基于模糊逻辑的直接自适应控制方法,利用模糊基函数网络逼近理想控制输出,通过模糊逻辑动态调整控制器的参数自适应律,可有效解决水下机器人控制问题。
补充资料：基数标准(见基数)
基数标准(见基数)
level of basic load
lishu biaozhun基数标准(level of basic load)见基数。
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