查询词典 beta function

Owing to the inaccessibility of substrate, the physiological function of aleurone beta-amylase is unknown. Some lipases reported possess both lipase and phospholipase activities.

因此推测玉米的beta淀粉酶可能和大豆beta淀粉酶同样具有抑制脂解酶的能力，其存在可以部分抑制脂解酶活性。

Assignment Method Required Attributes Required Settings All or Nothing Time none Capacity Restraint Time Iterations Capacity Convergence Alpha Beta Incremental Time Iterations Capacity Convergence Alpha Beta User Equilibrium Time Iterations Capacity Convergence Alpha Beta Stochastic User Equilibrium Time Iterations Capacity Convergence Alpha Beta Function Error System Optimum Time Iterations Capacity Convergence Alpha Beta

表格格式乱了，就这么翻吧） 1。全有全无分配法。所需属性：时间；所需设置：无； 2。容量限制法。所需属性：时间，通行能力；所需设置：迭代，收敛，α，β； 3。增量分配法。所需属性：时间，通行能力；所需设置：迭代，收敛，α，β； 4。用户平衡法。所需属性：时间，通行能力；所需设置：迭代，收敛，α，β； 5。随机用户平衡法。所需属性：时间，通行能力；所需设置：迭代，收敛，α，β，函数，误差； 6。系统最佳法。所需属性：时间，通行能力；所需设置：迭代，收敛，α，β。

Finishing calculation of mean value, standard deviation, skewness, kurtosis of Beta distribution.(2) Fitting parameters of many kinds of typical distribution and using residual deviation to evaluate fitting precision.(3) Using Beta distribution as an agreed indication distribution applied to many kinds of practical photoelectric measurement distributions.(4) Deriving theory formula of Bayes point estimation about Beta distribution parameters and mean value and standard deviation on the condition of mean square error loss function and supposed the prior distribution is uniform distribution.(5) Generating MCMC sample from post distribution by the method of Gibbs sample algorithm. Calculating bayes point estimation from sample on the condition of mean square error loss function. Calculating confidence interval by an approximate method to complete interval estimation.

本文的主要工作有：(1)解决了Beta分布参数a和b的精确计算以及均值、标准差、偏度、峰度的计算问题；(2)拟合出10余种典型分布的Beta分布的两个参数，并且采用剩余标准差评价该Beta分布的拟合精度；(3)对多种典型的光学与光电测量系统的测量分布进行了Beta分布统示表示；(4)在假设先验分布为均匀分布前提下，得到参数a和b以及均值μ和标准差σ在均方误差损失函数下的贝叶斯点估计理论计算公式；(5)利用直接抽样的Gibbs抽样算法，从后验分布中产生MCMC样本，从样本直接计算均方误差损失函数下的贝叶斯点估计，并使用一种近似方法计算其置信区间，完成区间估计。

Based on genetic algorithm and incomplete beta function, we introduce a self-adaptive method for image contrast enhancement and apply this method to radiograph image enhancement.

基于遗传算法和非完全Beta函数，介绍了一种自适应的图像对比度增强方法，并将其应用到辐射图像的增强处理中。

A new kind of image adaptive contrast enhancement approach based on particle swarm optimization algorithm and incomplete Beta function is given.

将免疫粒子群优化算法和非完全Beta函数结合，提出了一种自适应图像对比度增强方法。

A method of image enhancement is proposed based on particle swarm optimization,which can automatically find the optimal regularized Beta function to achieve image adaptive enhancement.

文中提出了一种基于微粒群的自适应对比度变换算法，该算法能自动寻找最优的Beta函数参数，实现图像对比度的自适应变换。

But,it is still a problem to find the two parameters of the Beta function for an input image to be adaptively enhanced.

Tubbs通过使用规则化Beta函数拟合对比度变换曲线，能实现图像对比度的自适应变换；但使用该方法需确定Beta函数的两个参数，其参数的自适应选择仍是一个较为复杂的问题。

In this paper, based on the research on Incomplete Beta Function, we introduce three different methods for implementing self-adaptive image contrast enhancement Traditional image enhancement is to define corresponding gray transform function according to gray distribution of the image.

基于对非完全Beta函数的研究，介绍了三种不同的自适应图像对比度增强方法。

By taking use of self-adaptive searching algorithm, optimal parameters of Incomplete Beta Function can be acquired, thereby obtaining the corresponding optimal transform curve. In this paper, Incomplete Beta Function is applied in contrast enhancement of container cargo inspection image, and the advantages of this function are well illustrated by comparing the experimental results.

Tubbs将图像增强处理中几种常用的非线性变换函数，表示成了一个归一化的非完全Beta函数，通过自适应搜索算法可以确定Beta函数的最佳参数，从而确定了相应的最佳变换曲线，将该函数应用于集装箱检测图像的对比度增强，通过对实验结果的比较，说明了该变换函数的优越性。

Some of the other gamma-related functions in SciPy include the incomplete gamma function gammainc, the beta function beta, and the logarithmic derivative of the gamma function psi.

其他一些γ- SciPy有关的职能包括：不完全伽玛函数gammainc，测试版功能测试，以及防扩散对数伽玛函数的导数。

Graf, without question, is the greatest women's player in history.

格拉芙，现在，毫无疑问是女子网坛历史上最伟大的选手。

If not, you will have to look around at all your important data.

如果没有，您将需要检查所有的重要数据。