关键词: 粗糙集, BP神经网络, 葡萄病害, 分类模型

Abstract: Rough set, without providing any prior information but the necessary data sets, is a soft computing method through reducing the original data to eliminate redundant data. BP neural network is a technique which automatically forms the required decision-making region through its own learning mechanism. Considering the advantages of rough set theory and BP neural network in information disposal, this paper constructs a novel classification model of grape diseases. The results show that the model of grape diseases is feasible and effective.

Key words: rough set theory, BP neural network, grape diseases, classification model