邻域粗糙集在轮对踏面缺陷图像特征选择的应用-Neighborhood rough sets in wheel tread defects application image feature selection

构造人脸数据库，利用粗糙集进行属性约减，最后利用神经网络就行分类-Construct face , using rough sets attribute reduction , and finally the use of neural network to classify

粗糙集属性约减的几种方法，包括基于正领域与信息熵等，简单通俗易懂。-Several methods of rough set attribute reduction, including the field of information based on positive entropy, simple easy to understand.