查询词典 stochastic dynamic programming

CBFEC emphasizes direct correspondence of concepts in EC with its software architecture for ease of understanding and using; minimal coupling with specific problem structure for easy adaptation it to solve a large number of wholly different problems; interface-centered design for extendibility. To achieve those objects, the problem-solving method of EC is analyzed and the problem-solving procedure of EC is divided into three interactive aspects: population-based stochastic searching mechanism, problem specific information to implicitly guide the stochastic searching, and the observation and control of the computation procedure of EC. Then the key concepts of EC are identified in those three aspects; the normal implementations of those concepts are summarized; the interfaces represents those concepts in software are abstracted; the collaborations of components through those interfaces are designed. CBFEC is implemented on mainstream component software platform COM/DCOM (Component Object Model/Distributed COM from Microsoft), which includes interfaces definitions, commonly using EC components implemented those interfaces, such as Simply EA component, Steady State EA component, EA component, EA component, Population component, Tournament Selection component, Linear Ranking Selection component, Nonlinear Ranking Selection component, Random Number Generator component, etc, and the collaborations of those components through those interfaces.

具体的做法是把演化计算看作是基于组件的软件工程的一个应用领域：首先分析了演化计算求解问题的一般思路和方法，把演化计算问题求解过程分为："设计基于群体的随机搜索机制"、"研究问题的性质并以此隐含地定义算法的搜索方向"和"求解过程的观察与控制"三个部分；然后分别找出各个部分中的关键概念，总结这些概念现有的一般实现方法，抽取其本质，以此结合设计模式来定义组件软件的接口；通过分析演化计算各个概念之间的相互联系来设计组件软件间通过接口的进行交互的方式；最后还在目前一种主流组件软件开发平台COM／DCOM（微软提出的组件对象模型）的基础上实现了常用的演化计算组件，如简单演化算法组件、稳态演化算法组件、演化算法组件、演化算法组件、种群组件、锦标赛选择策略组件、线性排名选择策略组件、非线性排名选择策略组件、随机数发生器组件等等。

Finally, favored by the article "Stochastic differential utility" written by Duffle and Epstein, we define the notion of Stochastic differential utility under Maos conditions. Similar to common utility functions, they preserve many good characters such as continuance, monotonousness, risk aversion and so on.

最后，受Duffie和Epstein的"Stochastic differential utility"一文的启发，在毛氏条件下定义了随机微分效用，它保持了一般效用函数的性质：单调性，连续性，风险厌恶以等。

Stochastic variables included driven accelerations, driven time, torques, frictions and damps were considered basically. In the first, Monte Carlo method was applied to generate stochastic variables and dynamical responds of mechanism. Secondly, the application of Artificial Neural Network was motivated by the approximate concepts inherent in reliability analysis and time consuming repeated analyses required for MC.

将驱动加速度、驱动时间、摩擦和阻尼力等作为随机变量，应用蒙特卡罗方法，取得动态参数样本，再利用人工神经网络方法，根据抽取的样本对网络进行训练，统计网络输出得到动态应力分布，进而求出机构动态强度可靠度。

The earthquake ground motion model is simulated as nonstationary stochastic process model that is used as equivalent stationary stochastic process.

将地震地面运动模型模拟为非平稳随机过程模型，对其进行等效平稳化。

Stochastic control system ; limited control ; exact controllability ; backward stochastic differential equation

本文组织如下，第二节引入主要定义，介绍倒向随机微分方程及彭有关随机精确能控性

Basic concepts of stochastic processes: family of finite dimensional distribution functions, numerical characteristics of stochastic processes.

随机过程的基本概念：有限维分布函数族，随机过程的数字特征。

Advanced course covering topics selected from: semimartingale theory, stochastic integrals, homogeneous chaos expansions, stochastic differential equations, Malliavin calculus, infinite dimensional processes, functional central limit theorems, Feynman-Kac formula, Feynman integral.

随机分析：高级课程，包括：半鞅理论，随机积分，齐次混沌展开，随机差分方程， Malliavin 微积分，，有限维过程，泛函中心极限理论， Feynman-Kac公式， Feynman积分，过滤理论的应用，无限粒子系统，量子力学，神经学中的随机模型。

A convergence of the section sum in stochastic sequence under finite state is produced with the help of same distribute and comparative function of stochastic sequenct.

利用随机序列的同分布性及比较函数，导出了有限状态随机序列部分和的一个收敛性质。

The weather and climate comply with the fluid dynamical equation and appear stochastic. In order to explore the relationship between weather and climate, the fractional derivative and integration are introduced. Physically, the stochastic degrees of weather and climate are different.

天气和气候虽然遵从流体力学规律，但是却显示出随机性，研究天气和气候之间的关系必须引入分数阶的导数和积分，从物理上讲不外乎说明天气和气候的随机程度是不相同的。

SPNAnalyzer software system has a very friendly man-machine interaction interface, so the visualized modeling of stochastic Petri net is very intuitional and convenient. The response and handling of the Windows messages is extended to the graph tool module, so it is very easy to maintain. The class design of the element object module and the graph tool module guarantees the expansibility of the system. The crucial technologies including the reachability set algorithm of the stochastic Petri net model, the constitution of the homogeneous Markov chain, and the computation of the steady state probability are implemented. The design of the data structure adopts the linked list, so the execution of the algorithms is very efficient.

SPNAnalyzer软件系统具有非常友好的人机交互界面，使可视化的随机Petri网建模变得非常直观方便；将各种Windows消息的响应和处理延伸至图形工具模块，使系统的维护变得容易；元素对象模块和图形工具模块的类的设计使系统的可扩展性很好；实现了随机Petri网模型的可达集生成算法和同构马尔可夫链的构造及其稳定状态概率的求解等关键技术；数据结构的设计采用链表的形式，使各种算法都具有较高的执行效率。

"The operators will suffer a temporary decrease in the number of consumers and short message services as people may not like having to provide their ID cards for a phone number," Xu Junqi, vice-dean with the Policy-Making Institute of the Telecommunications Research Centre under MII, said yesterday.

信息产业部下属的通信决策研究院副主任徐俊其昨天说：&实行手机实名制后，人们可能不太情愿用身份证注册手机号，所以通信运营商会暂时面临用户减少和短信用户减少的问题。&

I don't believe in make-believe!

我不相信这些虚构的故事。