最优过程

词组短语

optimal process

与最优过程相关的网络例句 [注：此内容来源于网络，仅供参考]

The penalty optimal brain surgeon is a post-training algorithm and it has extreme high complexity. The OBS oriented compute model implemented neural network training and OBS pruning simultaneously, by taking the OBS pruning case as a penalty term of neural network objective functions based on optimized structure of the regularization method included in the neural network training process. It both maintained the OBS's accuracy and had regularization method's high efficiency. Raised the generalization of neural network model.

最优脑外科过程是一种训练后网络剪枝算法，计算的复杂度非常高，通过把剪枝条件以惩罚项的形式纳入神经网络的训练目标函数中，把正则化方法的结构优化蕴涵于网络训练过程，构建面向最优脑外科过程的计算模型，实现网络训练过程和最优脑外科过程并行剪枝，既保持了最优脑外科过程的准确性，又具有正则化的高效性，提高了神经网络模型的泛化性能。

Fifthly, we research the problem about the stochastic fluctuate of the contents of organic compounds and microelements in the land under the assumption continuous-time model. The first, a dynamic model about fertility of plowland is presented using stochastic diffusion processes and distributed parameter system.

在分析了农业耕地中有机物含量及微量元素含量的随机变化过程的基础上，利用扩散随机过程理论及分布参数系统建立分析模型描述耕地肥力的分布状况；研究了以维护耕地最优质量状态作为目标值的最优控制问题。

Based on maximum likelihood estimate, the estimate method of sieving rate of connectivity sieve was presented. Three key issues in the estimate were analyzed:calculation of sample size,generation of random sample, and recognition of connectivity of induced subgraph. By preassigned credibility and precision, effective estimate of sieving rate of connectivity sieve is achieved.

目前，产品拆卸过程规划基本上是建立在图的基础上，即首先根据产品拆卸回收或拆卸维修信息，选用一种适合的图模型进行描述，然后在图模型的基础上，以拆卸回收或拆卸维修的经济性、环境协调性和技术性等综合指标最优为目标，进行拆卸过程规划，最终得到产品的最优拆卸序列【1一。1连通性筛子拆卸与或图是拆卸模型中的一种，文献[7]给出了拆卸与或图的定义及建模过程。

The shortest path problem of dynamic directed networks is significant in the disciplines of transportation and communication systems.

有向网络的最短路问题在交通、通信系统的最优路径计算以及多阶段决策过程的最优轨线设计等实际问题中有着重要应用。

By combinatory counting process to enumerate data of work condition of each generators, thus makes sure the searching and solver in optimal condition.3. Set up the power equilibrium equation and flow equilibrium equation according to the slack variable. It is not necessary to adjust the optimization any more and guarantee the optimal precision of the solution.4. Digitalize the composite characteristic curve, such as the digital input and accurate extraction of data during the performing.The above mentioned is an expanding for optimal performing of hydropower station in theory. It has good engineering applicability.

在水轮机专业领域和水电站运行领域主要成果是：(1)用人工智能的方法解决了水电站机组间负荷动态最优调度问题，且用数学方法严格证明了解的最优性；(2)用组合计数对并联机组的每个组合工况进行无遗漏枚举，从而保证搜索策略的作用范围和解的最优性；(3)利用松弛变量建立了功率平衡方程和流量平衡方程，使优化结果不再需要二次调节，保证了解的优化精度；(4)综合特性曲线的数字化，包括曲线的数字化输入和在程序运行过程中对曲线信息的精确提取。

The problem has been studied from two sides, firstly, from the viewpoint of applicability, based on the development strategic objectives of the oil company, with the aim to unify the exploration and extraction decisions of the resources in an integrated framework, and integrate the macro economic and technical objectives with micro economic and technical models of an oil well, an integrated non-linear dynamic optimal control model has been constructed, the objective is the benefit maximum of the exploration and extraction of the resources, and the optimalstrategies are obtained by changing the problem into a non-linear mathematical programming problem, on the other hand, from the more macro level, based on the analysis of the characteristics of the exploration and extraction activities of oil and gas resources, a conclusion is easily deduced that the procedure is full of randomicity, then discovering procedure of oil deposit is proved to be a Poisson process, and the reserves process is a supermartingale process, so the model of exploration discovery rate and the reserves model could be constructed.

其次从相对更宏观的层次上，通过对油气资源勘探与开发的特点分析，认为具有很强的随机性，证明了勘探活动发现油气藏的过程为一泊松过程，所发现的油气藏储量为一上鞅过程，在此基础上，建立了油气藏勘探发现率模型及储量模型，在油气价格服从几何布朗运动条件下，以油气开采收益最大化为目标，建立了一个油气资源勘探与开发的随机最优控制模型，采用动态规划方法得到了值函数的HJB方程，并针对方程的特点，以及方程及其变量所对应的经济学意义，对最优策略的求解进行了一些讨论。

This paper is based on "Trilemma" which is induced from MF model. In order to overcome MF models inherent defects, this paper constructs a static model headed by government on choice of optimum exchange rate regime. Through the analysis of the model we can see that the choice of exchange rate regime is a dynamic process should be decided in real situation. No single exchange rate regime is right for all countries or at all time. Under certain condition intermediate regime may be the optimum one, but the possibility will decrease with the increase of international capital flow.

本文从蒙代尔——弗莱明模型精炼出的"三元悖论"出发，为了克服其内在的缺陷，构建了一个政府主导的静态最优汇率制度选择模型，模型分析表明：汇率制度选择是一个动态的相机决策过程，没有哪一种汇率制度对所有国家或某一国的所有时期都适合；在一定条件下，中间汇率制度可能是最优汇率制度，但是其可选择的区间随着资本流动程度的加大而缩小，最终最优汇率制度将内生的向两极分化。

In chapter six, the vender markov process and renewal process are used to analyze deteriorating items inventory control .The steady balanceable target function is established and the optimal inventory control strategy is given.

第六章引入向量马氏过程和更新过程对随机易腐物品的最优存储进行了基本分析和探讨，给出了模型从稳态下的目标函数，并提出了最优的库存控制策略。

It suggests that thepace of proceeding reform should be discretionally adjusted according to social acceptance. The best way is to stick reform intentions to the optimal social acceptance. But the optimal social acceptance also varies with economic growth rate and macroeconomic environment. In searching for the optimal socialacceptance, gradual proceeding is better than radical one. It concludes that the higher growth rate and better macroeconomic environment is, the lower optimal social acceptance is acquired, and the stronger intension can we engage.

作者认为，改革推进的快慢应根据社会的可承受程度&相机抉择&，最好是将改革力度控制在最优的社会可承受程度上不变；改革的最优社会可承受程度也不是一成不变的，它因经济发展速度和其他宏观环境的不同而有所不同，在&寻找&改革的社会最优可承受程度的过程中，&渐进&的改革方式好于&激进&的方式；经济发展速度越快，宏观环境越好，改革所要求的最优社会可承受程度越低，改革的力度就可以越大，经济发展有助于改革的推进。

The optimal control problem was formulated as an undiscounted semi Markov decision process that maximizes the system throughput. Numerical examples of an actual FMS are presented, showing the optimal work routing policies when the system is reconfigured into two different config...

该系统最优控制问题被规划为无限期间系统平均输出为最大的准马尔科夫决策过程，并以实际的柔性制造系统为例，通过计算，给出系统重组后不同构成时的最优工件运送策略，使系统在运行过程中可获得最佳性能。

与最优过程相关的网络解释 [注：此内容来源于网络，仅供参考]

camouflage：伪装

经理则通过薪酬委员会、报酬顾问、以及报酬制订审批过程等"伪装"(camouflage)证明其报酬的合理性以减少激愤. 虽然期权本身有利于股东,但现实中期权报酬的设计偏离了最优契约的宗旨. 它使股东财富向贪婪的经理转移,产生了没有业绩的报酬.

debugging：纠错

测试(testing)的目的与任务纠错(debugging)的目的与任务确认组装好的程序是否满足(SRS)的要求基于使用(use-based)的测试通过领域分析(domain analysis)找出最优复用,对它们进行设计和构造,形成为可复用构件,进而建立大规模的软件构件仓库的过程,

method of steepest descent：最速下降法

同"贪心类"算法(如最速下降法)(Method of Steepest Descent)比较,基于Metropolis接受准则的模拟退火法可以避免搜索过程陷入局部极小,并最终趋于问题的全局最优解.

LIMES：临界值

最优值现在是一个处在直观性彼岸的无限之中的临界值(Limes),一个伸展到无限之中的最优化过程的极限值. 如此理解的最优值仅仅是某种被思考出来的东西,而就这个概念的胡塞尔含义来说,它就是指:某种观念的东西(Etwas"Ideales",

optimal position：最优位置

optimal policy 最优策略 | optimal position 最优位置 | optimal process 最优过程

optimal process：最优过程

optimal position 最优位置 | optimal process 最优过程 | optimal step size 最优步长

optimal step size：最优步长

optimal process 最优过程 | optimal step size 最优步长 | optimal strategy 最优策略

principle of optimality：最优性原理

Bellman等人在研究多阶段决策过程(multistep decision process)的优化问题时,提出了著名的最优性原理(principle of optimality),把多阶段过程转化为一系列单阶段问题,逐个求解,创立了解决这类过程优化问题的新方法-动态规划.

Wiener：维纳

本书共分9章:随机过程的基本概念、平稳随机过程、马尔可夫过程、时间序列分析、时间序列建模、维纳最优滤波和预测、离散线性系统的最优估计、广义维纳(Winer)滤波、线性系统在随机输入作用下的分析. 每章后都配有适量习题. 4.1 自回归滑动合(ARMA)序列的定义及产生方法第6章 维纳(Wiener)最优滤波和预测6.2 连续维纳一霍甫(

subband：子带

其量化的过程中. 为了使整体量化失真最小,须依照统计的概率分布设计最优的量化器. 4、信息熵编码. 让出现概率大的符号用短的码字来表达. 如Huffman编码,Shannon编码以及算术编码等. 5、子带(subband)编码. 6、模型编码.