1) minimum cross-entropy
最小叉熵
1.
In the incomplete insurance market,the loss distribution is adjusted by the minimum cross-entropy optimization model which is used to speculate on the probability distribution of information theory field and the insurance risk-neutral minimum cross-entropy density is obtained.
在不完全的保险市场,利用信息论领域中推测概率分布的最小叉熵优化模型,对经验损失分布进行调整,得到保险风险中性最小叉熵密度,进而确定新的保费。
2.
This paper proposes a minimum cross-entropy approach to calculate the exponential utility function.
本文提出了一种计算指数效用函数的最小叉熵方法。
3.
Under the incomplete information of the probability distribution,the minimum cross-entropy optimization model is obtained.
结果表明:最大熵原理只考虑了具有最大熵的概率分布,而在大偏差框架中,考虑了所有的概率分布,此时的熵描绘了随着实验次数的增加,概率分布的收敛情况;若只知道概率分布的不完全信息,最小化叉熵,得到最小叉熵优化模型,模型的解可调整保费。
2) minimum cross entropy
最小交叉熵
1.
Multilevel minimum cross entropy threshold selection based on quantum particle swarm optimization;
基于量子粒子群优化算法的最小交叉熵多阈值图像分割
3) minimum cross-entropy
最小交叉熵
1.
Image reconstruction based on minimum cross-entropy
最小交叉熵图像重建算法
2.
In this algorithm, three objectives, such as minimum cross-entropy, least norm and maximum entropy, were combined and then a novel dynamic weight-coefficient mechanism was adopted.
算法中折衷考虑了图像重建中最小交叉熵、范数极小化以及最大熵3个目标,并建立了一种新的动态权系数迭代法。
3.
The proposed approach conquers the flaw of choosing an improper threshold of the conventional minimum cross-entropy method.
该方法通过引入一个参数q,在阈值的选择过程中不仅考虑了目标和背景之间的信息量差异,而且考虑了目标和背景之间的相互关系,克服了传统最小交叉熵忽略目标和背景之间的相互关系所导致的阈值选择不恰当的缺点。
4) minimum cross entropy theory
最小叉熵原理
1.
Based on the minimum cross entropy theory,a new model,which can forecast mortality distribution by minimizing the cross entropy function subject to the future life expectancy of insurants,is proposed.
基于最小叉熵原理,建立了预测被保人死亡率分布的一个模型——最小叉熵模型,该模型以叉熵函数作为目标函数,以被保人的预期寿命作为约束条件,通过最小化叉熵预测被保人的死亡率。
5) minimum cross-entropy optimization
最小叉熵优化
1.
Solution of minimum cross-entropy optimization problems with cross-entropy constraints;
带有叉熵约束的最小叉熵优化问题的求解
6) minimum cross entropy method
最小交叉熵法
补充资料：最小熵产生原理
见不可逆过程热力学。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条