BP网络具有很强的非线性映射能力，能从已有数据中自动地归纳规则，获得这些数据的内在规律。
BP network with the strong nonlinearity mapping ability can summarize the rule from acquired data to obtain the inherent laws of these data automatically.
推理规则实现演绎法、归纳法、prolog样式的统一或其他人工智能(artificial intelligence, AI)样式的规则。
Inference rules implement forward inferencing, backward chaining, Prolog-style unification or other artificial intelligence (ai) -style rules.
本文论述了运用基于概念的面向属性归纳方法来发现分类规则的有关问题以及数据分类器的实现。
This paper discusses the relevant problems of applying the method of Concept-Based Attribute-Oriented to find classification rule, also expounds the implemented data classifier.
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