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1)  probability variable
概率变量
1.
The theoretical basis of statistic analysis on the probability variable of Cluster Variation Method (CVM) and the configurational entropy,and the model for describing Helmheltz free energy of solid solution have been recommended.
介绍了集团变分法的集团概率变量、配置熵等统计分析的理论基础及Helmholtz自由能的描述模型。
2)  PDF of complex-valued variable
复变量概率密度函数
3)  bivariate probability distribution model
两变量概率分布模型
1.
Univariate frequency analysis cannot provide a complete description of hydrologic variables with multicharacteristics,and many hydrological frequency problems should be solved by the bivariate probability distribution model concerning the encounters and joint distributions of different hydrologic events.
总结了当前应用最广泛的几种两变量概率分布模型,对各种模型的适用性和局限性做了详细分析,并介绍了一种新的两变量概率模型——Copula函数。
4)  Interval probability interval random variable
区间概率随机变量
5)  Interval probability fuzzy random variable
区间概率模糊随机变量
6)  mutation probability
变异概率
1.
According to the concentrating degree of fitness of the populations,a kind of adaptive crossover probability and mutation probability were designed in terms of three variables of maximal fitness,minimal fitness and average fitness of the populations,whereby the crossover probabilities and mutation probabilities of the whole populations could be ad.
为了改善传统自适应遗传算法的收敛速度以及局部收敛问题,根据种群适应度的集中程度,以种群的最大适应度、最小适应度以及适应度平均值这3个变量为基础,设计了改进的自适应交叉概率和变异概率来调整整个种群的交叉概率和变异概率,提出了一种基于种群适应度集中程度的改进自适应遗传算法。
2.
The influence of mutation probability on the mean first hitting time is analyzed theoretically.
从理论上分析了变异概率对平均首次命中时间的影响。
3.
A new criterion for mutation operator is also proposed,which adjusts the mutation probability adaptively according to the whole generation s closeness.
提出了一种改进的遗传算法,采取了确定性采样选择算子对选择算子进行了改进;明确了非等概率融合单阈值单点交叉算子,对交叉算子进行了改进;同时还提出了一种新的变异算子,它依据一种新的判断群体"集中"与否的准则,根据群体的进化程度自适应地调整变异概率pm的值。
补充资料:变量与变量值
可变的数量标志和所有的统计指标称作变量。变量的数值表现称作
变量值,即标志值或指标值。变量与变量值不能误用。
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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