查询词典 hessian matrix

The dissertation focuses on performance gradient estimation and SRO algorithm of DES aswell as other related topics,such as modeling of DES and discrete event simulation,performancemeasure Hessian matrix estimation,Stochastic Approximationand so on.General Semi-Markov Processis adapted to describe behaviour of DES and discrete eventsimulation.A general result is obtained and applied to analyze strong consistency of performancegradient Perturbation Analysisestimator.Conditions for effectiveness of InfinitesimalPerturbation Analysisare also discussed.New PA algorithms,such as server PA,PA usingDirac generalized function,job sequence PA etc.,are proposed to deal with discreteparameters.Furthermore,strategies of combining PA algorithms with certain iterative rules areanalyzed widely in order to optimize DES parameters and some SRO algorithms are constructed toslove DES optimization problems.

论文将DES性能分析领域中性能梯度估计和单运行仿真优化作为主要的研究对象，探讨了与性能梯度估计有关的DES和离散事件仿真过程建模、高阶导数估计以及随机逼近等理论和方法；建立了具有一般性的DES和离散事件仿真的广义半Markov过程模型；获得了分析性能梯度估计量强相合性的理论结果和无穷小摄动分析算法应用的条件；提出了诸如服务台数目的摄动分析、奇异摄动分析、串联生产线和加工车间中工件加工序的摄动分析等一系列摄动的思想和算法，对连续参数和离散参数都进行了深入的研究；对摄动分析算法同优化规则结合实现仿真优化的策略也进行了广泛的分析，构造了新型的变界截尾的随机逼近算法，并用于DES的单运行仿真优化研究；最后，给出了DES性能分析方法的实证性研究结果。

A new TMH(Template-Matching with Hessian matrix) method is proposed in this paper.

提出了一种新的肺结节检测算法——TMH(引入了Hessian矩阵的模版匹配)算法。

And introducing Levenberg-Marquardt method to perturb the Hessian matrix is also quite unique and successful.

大量的实验结果也证实了我们两种方法的有效性。

Moreover, the algorithm has better robustness and accuracy than DGMI algorithm and Hessian matrix algorithm.

与DGMD算法和单独的Hessian矩阵法算法相比，本方法有很好的鲁棒性和较高的准确性。

We use gradient vectors to find possible profiles, which are then verified by analysis of Hessian matrix in multiscale space.

我们经由梯度向量的方向寻找可能剖面，再使用多尺度空间中的Hessian矩阵分析，验证剖面的真确性。

A new TMH（Template-Matching with Hessian matrix） method is proposed in this paper.Firstly lung lobes are gained.

提出了一种新的肺结节检测算法——TMH（引入了Hessian矩阵的模版匹配）算法。

The method implements an accurate extraction using Hessian matrix eigenvectors and the Canny operator.

此方法结合了Hessian矩阵特征向量和Canny算子来进行准确提取。

And the Levenberg-Marquardt iteration, which can avoid to compute Hessian matrix, is adopted as the learning rule to train the samples of this feedforward network.

针对传统的梯度下降优化算法收敛速度慢的特点，采用可避免计算Hesse矩阵的Levenberg-Marquardt算法来训练神经网络。

An modified BFGS algorithm to solve the unconstrained optimization, whose Hessian matrix of the minimum point of the convex function is rank one defect, is presented in this paper.

本文对凸函数在极值点的Hessian矩阵是秩亏一的情况下，给出了一类求解无约束优化问题的修正BFGS算法。

In order to perform an accurate navigation, the centerline of the model must be extracted. In this paper, a new centerline extraction algorithm based on Hessian Matrix is proposed.

要想快速准确地进行虚拟内窥漫游，一个首要的步骤是要先提取出模型的中心线以指导视点的移动。

Diabetes is a social disease that affects several million people worldwide.

糖尿病是一个社会性疾病，全世界有数百万人罹患此病。

I'll call you on Friday to see if we can reschedule our luncheon meeting at your convenience.

我星期五会给您打电话在您方便的时候我们重新安排我们的午餐约会。