助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   mixed fuzzy 在 数学 分类中 的翻译结果: 查询用时:0.084秒
图标索引 在分类学科中查询
所有学科
数学
自动化技术
水利水电工程
地质学
地球物理学
电力工业
计算机软件及计算机应用
建筑科学与工程
更多类别查询

图标索引 历史查询
 

mixed fuzzy
相关语句
  混合模糊
    A Self-Tuning Mixed Fuzzy PID Control for Time-Varying Delay Systems
    时变滞后系统的一种自校正混合模糊PID控制
短句来源
    Mixed Fuzzy Multi-Objective Many-Person Noncooperative Games and Its Solving Method
    混合模糊多目标多人非合作对策及其解
短句来源
    The definition of safe points and the proof of their existence are given in the paper. Regarding them as the solutions to many-person games, the paper gives its algorithm and have the algorithm of mixed strategy solution to mixed fuzzy multi-objective many-person noncooperative games.
    给出安全点的概念,证明了它的存在性,并作为多人对策的解,给出求解算法,在此基础上给出混合模糊多目标多人对策混合策略解的算法.
短句来源
  混合型模糊
    Mixed fuzzy clustering analysis and its application
    混合型模糊聚类分析方法及其应用
短句来源
    By combination of the dynamic clustering method with ISODATA method,the mixed fuzzy clustering analysis method was put forward.
    在动态聚类方法和模糊ISODATA方法的基础上,提出了混合型模糊聚类分析方法.
短句来源
  混合模糊
    A Self-Tuning Mixed Fuzzy PID Control for Time-Varying Delay Systems
    时变滞后系统的一种自校正混合模糊PID控制
短句来源
    Mixed Fuzzy Multi-Objective Many-Person Noncooperative Games and Its Solving Method
    混合模糊多目标多人非合作对策及其解
短句来源
    The definition of safe points and the proof of their existence are given in the paper. Regarding them as the solutions to many-person games, the paper gives its algorithm and have the algorithm of mixed strategy solution to mixed fuzzy multi-objective many-person noncooperative games.
    给出安全点的概念,证明了它的存在性,并作为多人对策的解,给出求解算法,在此基础上给出混合模糊多目标多人对策混合策略解的算法.
短句来源
查询“mixed fuzzy”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
没有找到相关例句


A general Fuzzy-controller cann′t control time-varying delay systems effectively and even have the systems lose their stability. This paper presents a Self-compensating mixed Fuzzy control algorithm for time-varying systems based on the mixed Fuzzy-PID put forward by W.L.Bialkowski in 1983, and put forward a Self-tuning algorithm to tune the integral coefficient K I based on it. It is proved with the simulation of MTALAB and possesses a good control quality, which can be suitable to systems...

A general Fuzzy-controller cann′t control time-varying delay systems effectively and even have the systems lose their stability. This paper presents a Self-compensating mixed Fuzzy control algorithm for time-varying systems based on the mixed Fuzzy-PID put forward by W.L.Bialkowski in 1983, and put forward a Self-tuning algorithm to tune the integral coefficient K I based on it. It is proved with the simulation of MTALAB and possesses a good control quality, which can be suitable to systems with time-delay and time-varying parameters. But it can be realized easily in engineering.

普通模糊控制不能对时变滞后系统进行有效控制 ,甚至使系统失去稳定 .在 W.L.Bialkowski 1 983年提出的混合模糊 PID控制器的基础上 ,提出了一种自补偿混合模糊 PID控制器 ,并在此基础上提出了一种对积分系数 KI进行自校正的算法 .经 MATLAB仿真验证 ,该算法具有良好的控制品质 ,适应对象参数大范围变化的时滞系统 ,且易于工程实现 .

The aim of the paper is to depict the mixed fuzzy multi-objective many-person noncooperative games completely.The definition of safe points and the proof of their existence are given in the paper.Regarding them as the solutions to many-person games, the paper gives its algorithm and have the algorithm of mixed strategy solution to mixed fuzzy multi-objective many-person noncooperative games.With such solution,we show that the practical fuzzy payoffs of noncooperative players are not...

The aim of the paper is to depict the mixed fuzzy multi-objective many-person noncooperative games completely.The definition of safe points and the proof of their existence are given in the paper.Regarding them as the solutions to many-person games, the paper gives its algorithm and have the algorithm of mixed strategy solution to mixed fuzzy multi-objective many-person noncooperative games.With such solution,we show that the practical fuzzy payoffs of noncooperative players are not smaller than expected.

全面刻画混合模糊多目标多人对策。给出安全点的概念,证明了它的存在性,并作为多人对策的解,给出求解算法,在此基础上给出混合模糊多目标多人对策混合策略解的算法.证明了在这种解的意义下,非合作的局中人的实际模糊支付值不比它期望的小.

By combination of the dynamic clustering method with ISODATA method,the mixed fuzzy clustering analysis method was put forward.According to the method,an initial classification was firstly performed by use of the conventional transitive closure method,and then an initial division matrix was constructed.With the weighted fuzzy ISODATA method for iterative computation of the related data,the data were classified effectively.As a case study,the method was applied to stock classification,and the result...

By combination of the dynamic clustering method with ISODATA method,the mixed fuzzy clustering analysis method was put forward.According to the method,an initial classification was firstly performed by use of the conventional transitive closure method,and then an initial division matrix was constructed.With the weighted fuzzy ISODATA method for iterative computation of the related data,the data were classified effectively.As a case study,the method was applied to stock classification,and the result shows that the method is effective for stock classification and optimal selection.

在动态聚类方法和模糊ISODATA方法的基础上,提出了混合型模糊聚类分析方法.该方法首先利用传统的传递闭包方法得到1个初始分类,并在此基础上提出初始分划矩阵,根据考虑权重因子的模糊ISODATA方法对相关数据进行迭代计算,从而对数据进行有效分类.以股票分类为例对该方法进行实证分析,分析结果表明,应用该方法可以对股票进行有效分类优选.

 
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关mixed fuzzy的内容
在知识搜索中查有关mixed fuzzy的内容
在数字搜索中查有关mixed fuzzy的内容
在概念知识元中查有关mixed fuzzy的内容
在学术趋势中查有关mixed fuzzy的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社