使您不再“隶属”于容器提供的API或服务。
You no longer have to be a slave to the API or services a container provides.
通过优化模糊pi控制器的量化因子和比例因子，从而优化隶属函数，使控制系统具有很好的稳态和动态性能。
Though optimizing quantification factor and proportionality factor of Fuzzy-PI controller, optimizing the membership function, then make the system response has good dynamic and steady performance.
这所教堂隶属于希腊天主教会，在教皇的权利统治下，但是使正统的英国国教的祈祷书。
It is affiliated with the Greek Catholic church, which is under the Pope's authority but uses Orthodox liturgy.
同时，应用神经网络的学习和记忆功能，对控制变量的隶属函数和控制规则进行优化，使控制方案更趋于合理。
At the same time, using the study and memory ability of neural networks, optimize subject function and control rules of control variables, which makes the control scheme more reasonable.
新的目标准则函数考虑了数据集样本的模糊隶属关系和样本几何分布两个方面的因素，使算法的鲁棒性和分类的正确性大大加强。
Two factors are considered in cluster-validity criterion to enhance the robustness of algorithm and the validity of clustering, one is fuzzy membership and the other is geometric property.
选取的隶属函数使神经网络权值有一定的知识表示意义，并通过模糊化层将输入特征量转化为模糊量。
The selected membership function made neural network weight values have definite knowledge meaning, and the input characteristic variables were translated into fuzzy variables by fuzzy layer.
此外，将隶属函数归纳成公式，使运用大为方便。
In addition, summed up the subordinate function as a formula in order to use more conveniently.
为使模糊屈服面明朗化，文中引入了与模糊集截集相应的模糊屈服函数族。并巧妙地将隶属函数和屈服函数联系起来。
Fuzzy yield functions corresponding to he cut-set of fuzzy sets are introduced for the obviousness of fuzzy yield surface, and the membership function is ingeniously related with yield function.
该文把模糊集理论引入数学形态学，提出能处理模糊数据的模糊形态运算，并给出模糊形态运算的隶属函数，使传统的数学形态学能够处理模糊数据且容易在计算机上实现。
In this article, the fuzzy set theory is introduced into morphological operations, and fuzzy morphological operations as well as their membership functions that can process fuzzy data are proposed.
这种模糊神经网络利用了小波基函数作为隶属函数，可在线根据误差调整隶属函数的形状，使模糊神经网络具有更强的学习和适应能力。
This fuzzy neural network USES wavelet basis function as membership function whose shape can be adjusted on line so that the networks have better learning and adaptive ability.
为每个类均赋予一个影响力因子，使样本的隶属关系不只受距离的影响，而且受类的规模的影响。
Assigning an effectiveness factor for each of the clusters, leading to the membership relations between samples affected not only by distances, but scales.
为每个类均赋予一个影响力因子，使样本的隶属关系不只受距离的影响，而且受类的规模的影响。
Assigning an effectiveness factor for each of the clusters, leading to the membership relations between samples affected not only by distances, but scales.
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