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bayes solution相关的网络例句

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与 bayes solution 相关的网络例句 [注:此内容来源于网络,仅供参考]

By using constructive methods and complicated techniques of matrices, necessary and sufficient conditions for the existence of selfconjugate solution, perselfconjugate solution, centrosymmetric solution, bisymmetric solution, skewselfconjugate solution, skewperselfconjugate solution, skewcentrosymmetric solution, skewbisymmetric solution and various interlaced solutions over a finite central algebra Ω to systems of generalized Sylvester matrix equations overΩ are presented.

利用构造方法和复杂的矩阵技巧,研究了有限维中心代数上的多项式环Ω上的广义Sylvester矩阵方程组在Ω上有自共轭解,斜自共轭解,广自共轭解,斜广自共轭解,中心对称解,斜中心对称解,双对称解,斜双对称解及其各种交错解的充要条件。

Wherein, the chemical formula of said compound is γ-HaKbNac(H2O)dNixM1-XO2 and the method comprises that mixing the nickel salt solution and at least one metal salt solution to attain the solution A; preparing caustic soda or caustic potash solution and adding sodium carbonate or potassium carbonate to attain the solution B; preparing the ammonia solution C; reacting the A, B, and C, processing the solid-liquid separation to attain the ball α nickel hydroxide; reacting with the oxidant in the solution of caustic soda or caustic potash to attain the black solid-liquid mixture and processing the solid-liquid separation to attain the ball γ hydroxyl nickel oxide.

其化学表达式为γ-HaKbNac(H2O)dNixM1-XO2,将镍盐溶液与至少一种金属盐溶液混合得溶液A,配制氢氧化钠或氢氧化钾溶液,加入碳酸钠或碳酸钾得溶液B;配制氨水溶液C;将A、B、C反应,固液分离,得球形α氢氧化镍;在氢氧化钠或氢氧化钾溶液中与氧化剂反应,得黑色固液混合物,再固液分离,得球形γ羟基氧化镍。

Firstly, the existence and uniqueness of the solution for neutral stochastic functional differential equations with infinite delay under the uniformly Lipschitz condition, linear grown condition and contractive condition can be directly derived; And the moment estimate of the solution and the estimate for error between the approximate solution and the accurate solution can be both given; If the uniformly Lipschitz condition is replaced by the local Lipschitz condition, the existence and uniqueness theorem can be gained; Meanwhile, the existence and uniqueness of the global solution in the interval 0,+∞ can also be obtained; Secondly, L~p-exponential estimate of the solution for neutral stochastic functional differential equations with infinite delay can be studied; At length, the theorem of the local solution about neutral stochastic functional differential equations with infinite delay only under the local Lipschitz condition and the contractive condition can be established.

首先,在一致Lipschitz条件,线性增长条件和压缩性条件下,直接得到了具无限时滞中立型随机泛函微分方程解的存在惟一性,并给出了解的矩估计,近似解与精确解之间的误差估计;将一致Lipschitz条件替换为局部Lipschitz条件,也得到了具无限时滞中立型随机泛函微分方程解的存在惟—性,同时,也给出了在整个区间0,+∞上具无限时滞中立型随机泛函微分方程解的存在惟一性定理;其次,也讨论了具无限时滞中立型随机泛函微分方程解的L~p指数估计;最后,在局部Lipschitz条件和压缩性条件下,建立了具无限时滞中立型随机泛函微分方程局部解的存在惟一性定理。

A preparation method of the visible-light photocatalyst Bi2WO6 nano-powder is characterized by comprising the steps as follows:(1) the selection of raw materials;(2) bismuth nitrate Bi(NO33 question mark 5H2O is added into a citric acid solution to obtain the citric acid solution containing white sediment;(3) EDTA is added into ammonia water which is then added dropwise with the citric acid solution containing the Bi(NO3)3 question mark 5H2O so to obtain a solution of bismuth;(4) the solution of bismuth is added with (NH4)6W7O24 question mark 6H2O solution to form a precursor solution which is then stirred, dried, coked, cooled and ground to obtain decarburized powder;(5) the decarburized powder is roasted for 2h to 4h under 450 DEG C to 550 DEG C to obtain the visible-light photocatalyst Bi2WO6 nano-powder.

可见光催化剂Bi 2 WO 6 纳米粉体的制备方法,其特征在于它包括如下步骤:1原料的选取;2将Bi(NO 3 ) 3 5H 2 O加到柠檬酸溶液中,得到含有白色沉淀的柠檬酸溶液;3将乙二胺四乙酸加到氨水中,并缓慢滴加入含有Bi(NO 3 ) 3 5H 2 O的柠檬酸溶液中,得铋的溶液;4将(NH 4 ) 6 W 7 O 24 6H 2 O溶液加入上述铋的溶液中,组成前驱液;搅拌,干燥,焦化,冷却后,研磨,得去碳的粉体;5将去碳的粉体在450~550℃下焙烧2~4h后,得到可见光催化剂Bi 2 WO 6 纳米粉体。

Bayes estimate is a method of using Bayes condition probability formula to solve actual problem. Its distinct characteristic is using all the possible information to ensure the risk of decision-making very small.

Bayes方法是运用Bayes条件概率公式解决实际问题的一种方法,它的一个显著特点就是在保证决策风险尽可能小的情况下,尽量应用所有可能的信息。

The example are also given to show that the two Expect Bayes estimation formula are both steady and the precision of Expect Bayes estimation of the reliability for geometric distribution under the entropy loss function is higher than that of the square loss function.

通过实例验证,在熵损失函数下计算出的几何分布可靠度的多层Bayes估计是稳健的,并进一步表明在熵损失函数下计算出的几何分布可靠度的多层Bayes估计值比其在平方损失函数下算出的结果精度更高。

It not only analyses the metaphor mechanisms of AIS, but also describe the framework of immune algorithm and common immune algorithm. On the other hand the paper introduces the topological structure of Bayes network, assumption of the independence condition, the basic Bayes formula.

对人工免疫系统,不仅分析了它的仿生机理,还给出了免疫算法的基本架构,和常用的基于群体的免疫算法;对贝叶斯网络,给出了基本的贝叶斯公式,分析了贝叶斯网络的拓扑结构,和条件独立性假设。

Uses of Bayes formula in statistical Decisions;2. Considering the influence of the distorted information on fault location,a method for fault location in distribution network is presented based on Bayes formula .

从解决配电网故障信息发生畸变影响故障定位入手,提出了一种运用贝叶斯公式的配电网故障定位方法,并建立了利用贝叶斯公式最大显著度条件的故障定位模型。

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。

The Bayes method is introduced in this paper,and the Monte Carlo simulation based on Bayes method is provided.

并在其基础上提出基于Bayes方法的 Monte Carlo仿真方法,示例证明,该方法有很好的应用前途。

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