Although dense matching algorithm performs very well among several matching algorithms, there are still some problems on quantity and precision of matching points.
虽然稠密匹配算法在众多的匹配算法中表现出一定的优越性，但仍然存在一些问题，还不能满足匹配点数量与精度的要求。
The results show that the calculating quantity of the proposed forecasting model is less and the model is prone to be operated and the precision of forecasting is better.
本文采用混沌局域预测法建立了一个线性模型对浸润面实测数据进行预测，预测结果表明，建立的混沌预测模型计算量较小，易于操作且预测精度较高。
Applying the rough set theory make the controlling quantity roughened, and realizes a variable precision control.
利用粗糙集合理论对控制量作了粗糙化，实现了控制系统的变精度控制。
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