使模糊 meaning in English
bedim
blur
darken
mist
Examples
- 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。 - 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) 。 - 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。 - 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。 - 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。