在分析研究跳汰机控制过程的基础上，提出了基于粗集理论的跳汰机控制模型。
The paper provided the jig control model base wide collection theory after the study of jig control process.
本文结合粗集理论的基本概念，根据案例所包含的条件属性是否完备建立了案例可信度的定量评价模型。
Using the basic conception of Rough Set theory, a quantified appraise model based on the integrality of condition attribute that composed in the case is established in this paper.
这种基于粗集理论的神经网络模型和学习算法具有学习速度快、容错能力强等特点。
This algorithm based on rough sets and neural network has character of high speed studying and power tolerance.
这种基于粗集理论的神经网络模型和学习算法具有学习速度快、容错能力强等特点。
This algorithm based on rough sets and neural network has character of high speed studying and power tolerance.
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