本文首先介绍一种随机早期检测机制(RED)与混合TCP和UDP流的离散时间模型。
In this paper, we first introduce a discrete time model of the mixed TCP and User Datagram Protocol (UDP) connection with the RED mechanism.
在连续时间金融市场模型的研究中，随机理论和方法已成为重要的研究手段之一。
In the study of continuous time finance market modeling, the theory and methods of stochastics have been one of important research tools.
在连续时间金融市场模型的研究中，随机控制理论和方法已成为重要的研究手段之一。
In the study of continuous time financial market modeling, the theories and methods of stochastic control have been one of important tools.
对于与时间参数有关的可变荷载一般选用随机过程模型。
Vehicle load that are relate to time parameter is described as random process model.
文章在可数状态空间中建立了时间随机环境下随机游动的一个广泛的模型。
A general model of random walk in time-random environment in any denumerable space is established.
此外，采用时间序列分析方法，建立了IFOG的随机漂移误差模型。
Furthermore, a random drift error model for IFOG is built by the method of time series analysis.
提出了一种随机应力时间历程作用下构件疲劳可靠性分析的新模型。
A model for fatigue reliability analysis of structural members under random stress time courses is proposed.
用受控时间序列模型实现汽车实验中的随机波形再现是正在探讨的方法，该方法克服了RPC方法存在的几个缺陷。
Using controlled time series models to reappear the stochastic wave in the automotive test is being researched. This method overcomes several defects of RPC.
本文在分析了重置期权与带违约风险的期权定价模型的特点基础上，研究了随机时间的重置期权的定价问题。
Basing on the analysis of those models, this paper studies the default risk valuation model, investigates reset option with random time.
研究随机利率下离散时间保险风险模型。
This paper studies the discrete time risk model with stochastic rate.
将OD交通量和路段通行能力作为离散随机变量，基于用户平衡分配模型，用近似算法求解行程时间可靠性。
Od demands and link capacities are treated as discrete random variables. Based on user-equilibrium traffic assignment model, an approximating algorithm is used to estimate the travel time reliability.
本文提出一种在频率域内直接估计随机动态系统的连续时间模型参数的快速迭代算法。
In this paper, a direct procedure for estimating the parameters of a continuous-time model of a dynamical stochastic system is presented.
最后，采用时间序列分析方法建立了半球谐振陀螺的随机误差模型。
Finally, the random error model of HRG is established by using time series analysis method.
地震序列模型确定了断层带内中强以上地震的时间、强度和位置三方面的非随机性，从而导致了地震序列的特定性。
The earthquake sequence model defines the nonrandomeses moderate earthquake in time, intensity and location, thus leading to determination of the earthquake sequence within the fault zone.
应用确定型的时间序列分解法乘法模型与随机型的arma模型相结合，建立重庆市主城区人口死亡率的时间序列模型。
Combined with certain type time series recount multiplicity model and random type ARMA model, establish the time series model of the death rate in Chongqing urban area.
ARIMA模型可以较准确地预测非稳态随机过程的时间序列。
ARIMA model can be used to predict the non stable time series with adequate precision.
利用模糊系数实变量的线性方程组建立了一种新的模糊随机时间序列模型。
A new kind of fuzzy time series model is presented by using a fuzzy system of linear equations with fuzzy coefficients and real variables.
第4章研究了随机旅行时间车辆路径问题的模型和算法。
In chapter 4, we research models and algorithms of vehicle routing problems with stochastic time.
文章考虑网络流量非线性的特点，通过不同的数学模型将流量时间序列分解成趋势成分、周期成分、突变成分和随机成分。
According to the character of non linear network traffic, the traffic time series is decomposed into trend component, period component, mutation component and random component.
利用随机过程及时间序列分析手段，根据用水量序列季节性、趋势性及随机扰动性的特点，建立了用水量预测的自适应组合平滑模型。
Based on random process theory and time series analysis, the paper advanced the adaptive combined smoothing model suiting to seasonality, trend and randomness of water consumption series.
我们将该问题描述为一个连续时间随机控制模型，通过对价值函数性质的讨论，我们给出了模型的封闭解。
We formulate the problem as a continuous-time stochastic control model. Through analyzing the properties of the expected value function, we derive its close-form solution.
针对时滞、阶数和系数皆未知的离散时间线性随机控制系统（ARMAX模型），提出一种对时滞、阶数和系数同时进行递推估计的算法。
This paper proposes a new recursive estimate algorithm for unknown time-delay, orders and coefficients of linear discrete-time stochastic control systems (ARMAX model).
实例结果分析表明，随机集模型是一种很好的时间序列分析方法。
The example result shows that the random-sets method is a nice approach to time series analysis.
本文提供了一种用于识别这类随机信号的数学统计模型，并介绍了一种时间平均法用来获取超声背散射信号的衰减系数。
In this paper, a mathematical model is used to characterize this random signals, and a time averaging method is used for obtaining the ultrasonic attenuation coefficient.
在构建道路网的数学模型中着重研究了基于动态随机时间的道路行程时间预测。
The forecast of the route travel time based on dynamic random time is stressed and studied in the mathematics model.
以随机效用理论为基础，建立了整个路网中车辆在路网容量极限状态下的平均行驶时间模型。
Based on the theory of random effectiveness and urban traffic network, a random model used for computing average travel time in a road network is established.
应用线性回归分析和移动平均理论，对按时间次序排列的单一数据序列，给出了一种线性移动自回归预测模型，并对原始数据受不确定因素影响而产生的随机振荡，给出了合理的控制区间和运行通道。
The theory of linear regression and the theory of moving average are applied to analyse single data in time series, the model of a linear moving self regression forecast are given out.
本文运用现代时间序列理论，建立了表面粗糙度轮廓的随机数学模型。
In this article, the random mathematical method of surface roughness is given with modern time series theory.
利用随机生成数据进行的模型试验表明，模型可以在较短的时间内求解较大规模的收益管理优化问题。
With randomly generated data, the preliminary computational test shows that the large scale model which is close to real application size can be solved within reasonable time.
利用随机生成数据进行的模型试验表明，模型可以在较短的时间内求解较大规模的收益管理优化问题。
With randomly generated data, the preliminary computational test shows that the large scale model which is close to real application size can be solved within reasonable time.
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