先验

这个规则库为Agent的行为选择提供了先验知识，通过这个规则库可以实现动态规划。

The rule base provides prior knowledge for agent 's action selection and dynamic programming .

GPS观测量先验方差-协方差矩阵实时估计

Real-time Estimation of a Prior Variance-covariance for GPS Observations

已知e的先验值的初轨寻优算法

The optimizing algorithm of initial orbit with a priori value of the eccentricity

错误先验假定下Bayes线性无偏估计的稳健性

The Robustness of Bayes Linear Unbiased Estimations under Misspecified Prior Assumption

提出一种全新的基于空间滤波理论的正则化方法，它不依赖于阻抗分布的先验估计，因此它比最大后验（MAP）正则化方法易于实现；

We developed a new regularization method based on the spatial filtering theory , which is independent on the estimation of impedance distribution .

基于先验模型约束的Snake算法

A Snake Algorithm Based on Model Prior

基于多层Bayes先验抗力模型的结构信息更新

Information Updating Based on Multi-layer Bayes Structural Resistance Model

评估制导工具误差的Bayes估计的多层先验模型研究

Multilayer Prior Model of Bayes Method for Evaluation of Guidance Instrumentation Systematic Error

基于Bayes先验信息法的可靠性评估方法

Reliability Estimation Methods Based On Bayes Prior Information Method

其先验模型称为点分布模型PDM。

The prior model described in this paper is Point Distribution Model ( PDM ) .

在先验模糊辨识方法的基础上，本文提出了一种根据模糊图像自动估计点扩展函数参数d、θ、R和维纳滤波中的参数k的方法来进行图像恢复。

A new method to estimate the parameters d ,θ, R of Point Spread Function and k of Wiener Filter is brought forward .

基于新Dirichlet先验分布的指数寿命型产品多阶段可靠性增长Bayes分析

Multi-stage Reliability-Growth Bayes Analysis for Exponential Product Based on New Dirichlet Prior Distribution

同样，结果表明有逆Gamma先验信息要比无先验信息得出的结果要好。

Similarly , the result indicates that the result of inverted gamma prior is better than non-informative prior .

最后，基于最大后验概率的框架，通过引入Markov随机场的先验模型，有效的控制了解空间的收敛。

Finally , solution space was constrained by exploring Markov Random Field ( MRF ), based on the MAP frame model .

在动态变形监测中先验信息可以通过不同的方法获得，所以它可以用来改善GPS模糊度解算。

In kine-matics deformation surveying , the prior geometry information can be obtained from different methods , so it can be used to improve GPS ambiguity .

用先验地质信息约束的非线性AVO反演

Non-linear AVO inversion constrained by a priori geological information

基于压缩传感的MRI图像重构利用图像稀疏的先验知识能从很少的投影值重构原图像。

The reconstruction of MRI based on compressed sensing is able to recover the original image from the fewer projections using the sparse priors of image .

无先验基准方法在SLR资料处理中的应用

Application of No Fiducial Approach in SLR Data Processing

该法以多数非线性发展方程的孤立波解都具有e指数函数为基础，对解作先验假设，利用强大的计算机符号计算，这样就将求解问题转换到超定方程组的求解问题。

Because most soliton solutions of the nonlinear evolution equations have the Exp-function form , we can assume the solution initially then solve the overdetermined equations with powerful symbolic computation .

Dirichlet先验的信息比

Information ratio of Dirichlet priors

其次基于最小错误率原理选取SAR图象自动分割阈值，在先验概率未知和估计条件下，获得目标及其阴影区域的检测结果；

Second , on the basis of the principle of minimum error ratio , thresholds are computed in both a prior probability is unknown and known respectively .

OLS的一个显著特点是不依赖有关时间序列的先验知识。

OLS is independent of a priori knowledge about the segmented time series .

概率学的AGC先验定价和后验考核新方法

Studying Geography The Subject of Landscape Architecture Probability Experiments A NEW METHOD OF PROBABILISTIC PRIOR PRICING AND POSTERIOR ASSESSMENT FOR AGC

文献[2]中给出了抽样分布为二项分布、先验分布为Beta分布的Bayes决策准则。

The Bayes decision criterion of sample distridution as binomial distridution and prior distribution as Beta distribution is given in document ( 2 ) .

首先介绍了常用的做法，即取共轭分布β（a，b）作为先验分布，给出了在平方损失函数下的经验贝叶斯估计，并用与以往不同的方法研究了其渐近最优性。

Firstly , we introduce the common method , and give out empirical Bayes estimation under the square loss function when conjugate distribution is the prior distribution , then its asymptotic optimality is discussed with the different method .

SLP问题对先验分布的依赖性

The Dependence of SLP Problem on Prior Distribution

因此本文采用模糊度函数进行搜索，利用一定的先验信息进行缩小搜索空间，最后利用F检验求解正确的模糊度。

So this paper uses the ambiguity function to search , uses some priori information to reduce the searching space , at last uses F-test to solve the accurate ambiguity . 3 .

本文研究了时滞交通网络中鲁棒动态路由的分散H∞控制，我们假设排队模型中的延迟是先验未知和快速时变的。

This paper studies the decentralized H ∞ control for robust dynamic routing in traffic networks with time-varying delay , we assume that the delays in the queuing model are unknown a priori and fast time-varying .

先验概率可以根据马尔可夫随机场（MRF）和吉布斯分布（GD）的等效性，用GD的概率估计。

The prior probability can be estimated by using the equivalence of the Markov random fields and the Gibbs Distribution ( GD ) .

如果源节点和目的节点处于同一个Mesh子网内，则优先采用先验树状路由，否则采用按需路由。

If the source and destination nodes are in the same Mesh subnet , the tree ‐ based routing protocol will be selected preferentially . Otherwise the on ‐ demand routing will be chosen .