分析欧洲序列密码候选算法ABC的安全性，提炼出两类与安全性密切相关的具有概率优势的线性表达式。
The paper proves the probability advantages of two linear expressions which are summarized from the ABC stream cipher submitted to ECRPYT Estream Project.
实验表明，EPFCM算法可以有效地得到最佳的类中心个数，聚类结果不受初始类中心影响，并且陷入局部极小的概率较FCM算法大大降低。
Experiments show that EPFCM algorithm can gain best cluster centers and optimal cluster structures, and the probability of falling into local minima is greatly reduced.
概率分析进化算法是将构造性模型引入进化算法进行研究而形成的一类新型进化算法。
Probabilistic modeling evolutionary algorithms (PMEAs) that incorporate building models into evolutionary algorithms have become a new class of evolutionary algorithms.
并在算法中引入了一类新的算子，显著地提高了收敛概率。
New operators are proposed to improve the possibility of convergence.
同时改进了现有的直觉模糊聚类算法中的概率型约束条件，使其对噪声和野值点具有较好的鲁棒性。
Besides, it was robust to the noises because it improved the constraint conditions used in the existing intuitionistic fuzzy clustering algorithm.
同时改进了现有的直觉模糊聚类算法中的概率型约束条件，使其对噪声和野值点具有较好的鲁棒性。
Besides, it was robust to the noises because it improved the constraint conditions used in the existing intuitionistic fuzzy clustering algorithm.
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