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1.AN APPLICATION OF FUZZY PATTERN RECOGNIIION ──PRODUCTING THE BEST WORKINGSTATE CLASSES
模糊模式识别的一种应用──产生最佳的工况类别收藏指正
2.According to the geometry of the displacement-distance profiles and the stages in the development of normal faults, the authors separate the pattern of displacement into three classes: (1) symmetrical elliptical or bell shaped for single simple faults;
根据正断层位移距离剖面的几何形态和断层发育阶段 ,可将断层的位移模式分为 3个类型 :(1)对称的椭圆状或钟状代表简单的单条断层 ;收藏指正
3.For the pattern unknown samples, given the totalnumber of their classes, c, and the fuzzy weighting exponent, m, the set point of everyclass and the fuzzy membership of every sample are calculated by optimizing theobjective function, J(U, V). Therefore, the class of every sample can be determinedby means of using the maximum membership rule.
对于未知模式样本集，给定预期类别数c和模糊加权指数m，通过迭代优化目标函数J（U，V），可以得到各类的最佳凝聚点，从而求得各样本的模糊隶属度，然后利用最大隶属准则，可以判别各样本所属类别。收藏指正
4.Abstract Factory Design Pattern (Sample - An abstract factory provides an interface for creating families of related objects without specifying their concrete classes.
一个抽象工厂提供了用于创建一系列相关对象的接口，而不用说明它们的具体类。收藏指正
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