A new algorithm, i. e., the point pattern fuzzy relaxation matching algorithm is applied to the tracking of targets.
本文将一种新型的点模式模糊松驰匹配算法用于目标跟踪。
The relaxation detecting of effective feature segmentation is studied before matching capability of Scene Matching Algorithm of fuzzy entropy similarity metric can be improved.
研究了有效特征区域的松弛检测方法，对基于模糊熵差的景象匹配算法进行相应后处理，提高了匹配性能。
This method can deal with the difficulties of determining minimum voltage security margin index to a certain extent. The relaxation of this index can be realized by a fuzzy parameter.
该方法可在一定程度上解决确定最小电压安全裕度指标的困难，通过最小电压安全裕度模糊参数，实现对该指标的松弛处理。
A revised fuzzy control algorithm was developed to accelerate iteration convergence in numerical fluid dynamic simulation by adjusting the value of the under-relaxation factor.
在原来研究工作的基础上，提出了一种改进的模糊控制方法，用以调整粘性流场迭代计算中亚松驰因子的值。
A revised fuzzy control algorithm was developed to accelerate iteration convergence in numerical fluid dynamic simulation by adjusting the value of the under-relaxation factor.
在原来研究工作的基础上，提出了一种改进的模糊控制方法，用以调整粘性流场迭代计算中亚松驰因子的值。
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