查询词典 discrete process

In order to satisfy itself to as well as enriches my knowledge with the contemporary science hope, I have not only studied the machine science core curriculum like mechanics, the metal, the process and the material, but also through was the audit method has studied the other curriculum like discrete mathematics, the advanced algebra, the group theory in other and so on.

为了满足自己对与当代科学的渴望以及丰富我的知识，我不仅学习了机械科学的基础课程如机械学、金属、过程与材料，还通过在其他系旁听的方法学习了其他课程如离散数学、高等代数、群论等。

Assuming that each component has only two states: work or failure, then the state process of the system is a continuous time discrete state homogeneous Markov chain, and it can create a set of differential equations.

提出了一个负载分担可修的并联系统模型，在系统中，n个并联部件是可修的，一个部件失效，将会导致剩余部件有更高的负载，从而引起更高的失效率。

To disclose the complicate mechanism of power system dynamic behaviors and to research the hybrid dynamic process of interaction between its continuous dynamic behaviors and discrete dynamic behaviors, it is necessary to build simulation software for hybrid power system.

为了研究电力系统的复杂动态行为，揭示电力系统连续动态与离散事件动态相互作用、相互影响的混杂动态过程，创建电力系统的混杂动态仿真平台是十分必要的。

The nonlinearity and discrete gradient inherited in CAViaR model is a conundrum for parameter estimation. We take the asymmetric Laplace distribution with scale parameter as the error process; indicate the variance has a minimum positive value when the scale parameter is a constant, conflicting with the distribution of real financial data. Further we estimate the parameters of indirect TARCH-CAViaR model base on Bayesian framework and Markov chain Monte Carlo method. The optimal scale parameter can also be obtained by Markov chain Monte Carlo method.

CAViaR一般模型中递归分位回归方程的非线性和非连续可微性是参数估计的一个难题，基于含有尺度参数的不对称拉普拉斯分布作为误差过程，指出将尺度参数固定为常数会导致不对称拉普拉斯分布随机变量的方差存在最小正值的限制，与实际金融数据分布不符；进而提出采用贝叶斯分析和马尔科夫链蒙特卡罗模拟方法，估计间接TARCH-CAViaR模型的参数，并可获得尺度参数的合理估计。

In this paper, we discuss the learning control for nonlinear discrete system with delay. It is not necessary to use the desired input corresponding to the desired output and the desired state corresponding to the system in our learning algorithm and in the process of learning control. Therefore, our method needs less dynamics information of the controlled object than previous ones and only the qualitative Lipschitz condition is required.

摘 要：讨论了滞后非线性离散系统的学习控制问题，由于所给的学习算法及学习控制过程中，没有涉及和用到相应于理想输出yd的理想输入ud及对应于系统的理想状态xd，故对被控对象的动力学信息要求得很少，只是一种定性上的Lipschitz条件。

To provide effective and efficient solutions to the scheduling problems in discrete job shop with multiple cells each having flexible process routings, this dissertation presents a Holon-based autonomic and coordinated intelligent scheduling technique, which is integrated with reinforcement-learning-based contract net protocol and modified filtered-beam-search algorithms, based on the recent researches in Agent or Holon-based decentrated production scheduling. The proposed intelligent scheduling technique is studied based on the key techniques of Agent or Holon-based autonomic and coordinated scheduling, i.e., encapsulation of entities, the control architectures, coordinated mechanism and core autonomic algorithms.

本论文在充分吸收近十余年间基于Agent或Holon的非集中式生产调度最新研究成果基础上，以具有生产加工柔性的、多单元、离散作业型制造车间为研究对象，围绕基于Holon的协商与自治调度关键技术(实体封装、控制体系结构、协商机制和核心算法)展开研究，提出了基于Holon概念模型的、集成强化学习机制的合同网协议和改进过滤定向搜索算法的自治与协商智能调度技术，以提供实用有效的求解方法、改善柔性制造车间适应内部动态环境和外部市场快速变化的能力。

To couple the method with FEM,discrete nodal line is introduced,and applied toSDTFM.With a similar process as SNDTFM,we can deduce a refined SNDTFM.

为适应复杂区域问题的求解，本文提出了离散结线的概念，将其应用到条形数值分布传递函数方法中，实现了与有限元方法的分区耦合。

Conventionally the electric load forecasting can hardly attain a result whose accuracy meets what's required. A short-term load forecasting model is therefore developed to solve the problem, based on the process neural network of which the input is the function of time and the high forecasting accuracy is available. Describes the structure of the model, discrete data fitting method by the expansion of function orthogonal basis and learning algorithm.

针对目前常用方法在解决负荷预测问题时，结果往往难以达到工程要求精度的现状，利用过程神经网络输入为时间函数以及预测精度高的特点，建立了基于过程神经网络的电力系统短期负荷预测模型；给出了模型的结构，基于函数正交基展开的离散数据拟合方法以及模型的学习算法。

Secondly, by establishing a discrete time Markov model with spatial reuse for a MANET, we analyze the performance of the network under the AODV routing protocol. The average route length and the probability to communicate within a limited hop distance are obtained. Several performance parameters of the route discovery and route maintain process are analytically studied, such as the probability generating function and the expectation of the flooding distabce. the probability that a route is discovered by a query packet with a "hop limit", the probability that a request packet finds a valid route, the average time needed to discover a valid route and the cost to successfully route a data packet to its destination. Furthermore, we present a concrete example based on the transmitter characteristic of directional antennas and obtain the corresponding results.

建立了移动自组网络空间可重用的离散时间马氏链模型，得到了AODV路由协议下网络任意两节点间的平均路由长度、在指定"跳限"要求下通信的概率；对随选型路由协议下路由发现和路由维护过程中若干网络性能参数进行了解析分析，如网络中任意两节点问的泛洪距离的概率母函数及其期望、限定泛洪步数时成功寻路的概率、发现一条有效路由的平均时间、成功路由的代价等；并基于定向天线的发射特征给出了一个具体实例，分析计算了相应的网络性能参数。

The modeling problem of the process neural network based on the discrete data is studied.

着重研究了基于离散数据的过程神经网络建模问题。

In the United States, chronic alcoholism and hepatitis C are the most common ones.

在美国，慢性酒精中毒，肝炎是最常见的。

If you have any questions, you can contact me anytime.

如果有任何问题，你可以随时联系我。