Firstly, the learning machines select the most typical samples, such as the centers of two classes, to form the coarse classification hyperplane of SVMs named preformed hyperplane.

• 首先选取训练集中最典型的一些样本，构造一个粗糙SVMs的分类超平面，用样本与这个超平面的相对距离定义隶属函数，将所有的训练样本都映射到一个带形区域；