本文基于粗集理论，针对知识表达系统提出了一种新的归纳学习方法。
In the paper, we make a new inductive learning approach to knowledge representation system based on rough set theory.
复杂结构归纳学习方法按照知识表示方式不同分为基于逻辑的方法与基于数学图的方法。
The approaches adopted by inductive learning of complex structure can be classified into logic-based ones and graph-based ones according to knowledge representation.
将统计分析方法和面向属性的归纳方法结合起来，形成了一种应用面比较广的统计归纳学习方法，可以用于GIS属性数据挖掘。
A statistical inductive learning approach is proposed to investigate GIS attribute data mining. This approach integrates statistical analysis with attribute oriented induction method.
应用推荐