1) Variable weight partition entropy
变权划分熵
2) changed entropy weighed
变熵权
1.
In this paper, discussed the dynamic forecast about the military conflict state under uncertainty in the fuzzy sets, we defined the adding weighted entropy, the probability entropy and changed entropy weighed, we studied the math method about the state transfer track on the military conflict state.
基于模糊集探讨了不确定性军事指挥冲突态势处于动态过程的预测问题 ,定义了加权熵、随机熵和变熵权等概念 ,给出了确定军事冲突状态转移运行轨迹的数学方法。
3) partition entropy
划分熵
1.
Some properties of modified partition entropy, which based on pattern s maximum classification information are discussed.
讨论了基于样本最大分类信息的改进划分熵的若干性质 ,并对Bezdek提出的划分熵、基于样本最大分类信息的改进划分熵、划分熵的归一化形式的分类性能进行了比较实验。
4) entropy of a partition
划分的熵
5) changeable weighting partition coefficient
变权划分系数
6) entropy variation
熵变分
1.
An image denoising model based on entropy variation is proposed from the viewpoint of maximum a posteriori probabilities(MAP) and maximum entropy theory.
针对传统Tikhonov正则化模型存在的不足,根据最大后验概率(MAP)和最大熵的理论,提出了一种基于熵变分的图像去噪模型。
补充资料：变权
1.权变。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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