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Home > chinese-english > "使模糊" in English

English translation for "使模糊"

bedim
blur
darken
mist


Related Translations:
泪眼模糊:  eyes blurred by tears
模糊百分比:  precent blur
更模糊:  blur more
模糊连续:  fuzzy continuity
模糊一致:  fuzzy consensus
模糊联盟:  fuzzy coalition
模糊分类法:  fuzzy classifier method
模糊资讯:  fuzzy information
模糊对象:  fuzzy objective
模糊斑:  confuson disc
Example Sentences:
1.The fuzzy t - s model is used to model the nonlinear systems . designing the fuzzy control law by the linear matrix inequalities makes the fuzzy system stable
采用模糊t - s模型对非线性系统建模;基于线性矩阵不等式技术设计模糊控制器使模糊系统稳定。
2.This kind of control structure decreases the number of fuzzy rules greatly , improves the operation speed and the traffic capacity of the main trunks , and consequently improves the traffic environment of the whole road network
这种控制结构使模糊规则数目大大减少,提高控制器运算速度,并且提高了主干线的通行能力,从而改善了整个道路网络的交通状况。
3.The production rules enable the accurate and detailed expression of the experts " control thinking , which makes fuzzy logic controller characterized by artificial intelligence function as experts do in a certain degree
用产生式规则表示领域专家的知识和经验,准确详细的表达了专家的控制思想,使模糊逻辑控制器能够真实的反映领域专家的水平,具有人工智能的特性。
4.The consequent parameters of rules adjust themselves on line to track real uncertainty effectively , while the powerful approximation ability of fuzzy system makes the sliding model control without switching term remain the robustness
模糊规则后件参数在线自调整以使模糊系统输出能有效地跟踪实际不确定性,模糊系统优良的逼近能力使不含切换项的滑模控制保留了鲁棒性。
5.This control system not only possesses the advantages of hierarchical fuzzy control , but also can change its membership functions adaptively to an optimal setting in different traffic situations , in this way the currency power of the urban intersection is improved
该控制系统不仅具有分级模糊控制的优点,同时能使模糊隶属度函数根据不同的交通情况自适应地变化,从而改善控制效果。
6.Only small fuzzy rules ( “ if - then ” rule base ) are selected , the fnns may be applied to approximate the unknown chaotic system . using a lyapunov synthesis approach and the parameters projection algorithm , the free parameters of adaptive fnns controller can be tuned on - line
该方法采用少量模糊规则( “如果-则”语言规则) ,使模糊神经网络逼近系统中不确定函数;然后通过lyapunov函数法和参数投影算法,即可在线调整模糊神经网络控制器参数。
7.This paper has a discussion on a kind of fuzzy rough set model based on the cut - set , ( the third chapter ) , it makes the relation of fuzzy rough set and classic rough set by the cut - set of a fuzzy set . lastly we give the rough measure of a fuzzy rough set under - cut - set ( the forth chapter )
本文就一种基于截集的模糊粗集的模型进行了讨论(第三章) ,使模糊粗集与经典粗集通过截集这一工具联系了起来,并给出了-截集水平下,模糊粗集的粗糙度(第四章) 。
8.Because this controller materializes the ideal of different fuzzy sets , that is to say , the distinguish ratio of membership changes with the fuzzy sets , which makes fuzzy controller more adaptive and betters the control capability . 2 ) decreasing the optimal variables of membership
这是因为它体现论域分层控制的思想,即在控制过程中隶属函数分辨率的大小随论域的变化而变化,使模糊控制器具有较好的适应性并减少了人为因素的影响,从而改善了控制器的控制性能; 2 )减少隶属函数中需优化的参数。
9.The software adopt microprocessor advanced language franklincsl to write code . thus , not only fuzzy control algorithms and hardware , software of system can be combined adequately ; the superiority of fuzzy control algorithms can be fully exerted ; but the fuzzy control will apply in industry process control ulteriorly
本控制系统的硬件以at89c52单片机为控制核心,软件采用单片机高级语言franklinc51对其进行编程,使模糊控制算法与系统的软硬件结合充分,能够很好的发挥模糊控制算法解决此类问题的优越性。
10.By analyzing expression between a and fuzzy entropy from the view of analytics , this paper analyses the relationship of between a and fuzzy entropy and the changing trend of fuzzy entropy function with the increase of a , then discusses the sensitivity of the parameter a to classification result such as total nodes , rule number , classification accuracy of fuzzy decision tree , proposes an experimental method of obtaining optimal a , it is proved by experiment that the optimal value a obtained by this method can make the classification result of fuzzy decision tree best , and therefore provides the academic evidence of selecting parameter a in order to gain the best classification result
本文在visualc + +软件开发平台及模糊id3算法的基础上,从解析的角度出发,通过分析参数与模糊熵之间的函数关系式,讨论了随着的增加,模糊熵函数的变化趋势,进一步分析了参数对模糊决策树的分类结果在训练准确率、测试准确率、规则数等方面所表现出的敏感性,探讨了得到最优参数的实验方法。实验证明,利用这一方法得到的最优参数的值,可以使模糊决策树的分类结果达到最好的效果,从而为人们用模糊决策树进行分类时选取参数以获得最优的分类结果,提供了良好的理论依据。
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