在复杂网络分析中，通常采用随机网络模型。
The random network model is widely used in analysis of the complex network.
建立一个工期和费用估计的随机网络模型，说明应用蒙特卡洛模拟进行工期和费用风险分析的原理及方法。
A stochastic network model is built by use of the theory and method of Monte Carlo Simulation, with a view to analyzing the risk of the time limit for project and its cost.
第二部分，为进一步探讨无标度网络的形成机制，我们研究加点、加边、重连和去边四种演化过程的随机网络模型。
In the second part, in order to explore further the mechanism responsible for scale-freenetworks, we introduce two extended models of the Barabási ?Albert model.
在此基础上建立了基于土壤孔隙形态学特征的随机网络模型，在孔隙尺度模拟了土壤中的水分运动过程，并预测了近饱和土壤水分特征曲线。
A spatially-random network model by using measured pore morphology was then set up to simulate the pore scale flow processes, and to predict the soil water retention curve near saturation.
为此，本文提出了一个随机规划模型用于确定逆向物流网络中集中式回收中心和分销中心的位置和容量。
In this paper we propose a stochastic programming model to determine the location and capacity of centralized return centers and distribution centers in reverse logistics network.
提出了适用于大规模网络的组合随机用户平衡模型，能够同时预测出行分布和交通分配。
A combined stochastic user equilibrium model for simultaneous prediction of trip distribution and trip assignment on large-scale networks is developed.
本文就多个城市间建立交通运输线的课题应用随机网络技术(VERT - 3)构建了一个较大的仿真模型。
According to the problem of laying transportation lines between several cities, a large simulation model has been constructed with the stochastic network technique (VERT-3).
利用改进的BP算法，结合电波传播理论，建立了随机雨介质的等效复折射指数的神经网络模型。
The neural network model of the equivalent complex refractive of random rain media is developed by means of the improved BP algorithm, based on the electromagnetic wave propagation theory.
本文通过检测电流信号基于随机模糊神经网络建立了刀具磨损量的软测量模型。
Through measuring the electric current signal, the soft sensing model used for tool wear estimation based on stochastic fuzzy neural network(SFNN) is presented in this paper.
应用神经网络对未建模型的非线性随机系统进行控制。
Use Neural Network to control unfounded model nonlinear random system.
应用土壤的随机管子网络结构模型，从理论上对土壤的渗透系数进行了分析。
The model with random tube net structure is used to analyses the penetrating coefficient of soil theoretically.
本文根据网络知识建立了产品分销模型，探求企业在市场需求固定和随机时的最优收益。
This paper firstly establishes a goods distribution model according to the network knowledge, and attempts to solve the problem of optimal profit of manufacturer under the fixed and random demand.
本文采用一种累加模型将复杂大规模网络流量分解成趋势项、周期项和随机项。
In this paper, according to the characteristics of non linear network traffic, traffic behaviors are decomposed into trend items, period items, and random items by an accumulation decomposition model.
因此，基因调控网络较精确的模型应该包括随机噪声。
Therefore, gene regulatory network should be described by more accurate models which include random noise.
采用在已知参数范围内随机选取足够的样本的方法来训练危险度分级的神经网络模型。
The ANN model of the dangerous degree classification also trained by random selected enough samples in the range of known parameters.
通过引进批长度随机向量，确立了一类批处理排队网络的流体模型。
By bringing in random vector of the size of batch, the batch processing fluid model was established.
该模型直接计及了规划过程中所存在的模糊、随机因素对网络结构优化的影响。
In this model the effects of fuzzy and stochastic factors pertaining in the planning process are considered directly.
针对不确定网络，研究具有随机参数的最短路径问题，采用随机数表示路径权值的不确定性，建立有约束的期望最短路模型。
Aiming at the uncertain networks, the shortest path problem with stochastic parameters is studied and the expected value model with constraints is constructed.
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.
本文研究松散网络中，随机路点模型下不同路由协议的节点分布。
This paper focused on the distribution of nodes in different routing protocols with random waypoint model in loose networks.
人工神经网络时序模型开辟了随机模拟法在设计洪水计算中应用研究的新途径。
Artificial neural network series models break a new approach for stochastic modeling in computing design flood.
传统的静态确定型停车行为模型忽略了网络的时变性和随机性。
In traditionally static and deterministic parking models, the time dependence and stochasticity of road networks is ignored.
建立了阅读器网络的图模型，阐述了阅读器网络拓扑结构固定和可随机改变情况下对解决阅读器冲突问题的不同要求。
The article introduces the graph model of reader network, and formulates requirement of the solution to reader collision when topology of the reader network is fixable or variable randomly.
首先应用随机不连续面三维网络模拟技术建立不连续面分布的概率统计模型。
The probability distribution model of discontinuities is established through the three dimensional network modeling.
但是现有的层次网络模型和最优路径算法难以扩展到时变、随机网路中，为此本文提出了网络树模型和最优路径算法。
But it is difficulty to expand the existing hierarchical network models and algorithms for finding optimal path problems in the stochastic and time-dependent network.
基于不同的冗余技术对网络系统进行分类并分别建立随机数学模型，提出了基于不同应用需求的可生存性的定量评估方法。
Network systems are sorted according to the redundancy techniques adapted and corresponding stochastic models are constructed, survivability based on different application requirement are evaluated.
介绍了在岩体三维随机裂隙网络中进行非稳定地下水渗流分析的数学模型和方法。
A new three dimensional model for the analysis of transient ground water now in a stochastic fracture network of a fractured rock mass is presented in this paper.
在考虑了单包传输、多包传输、数据包丢失、延时、随机干扰等情况下，用一种统一的形式，建立网络控制系统的模型。
An uniform model is developed to describe the augmented plant considering single-packet transmission, multiple-packet transmission, packets dropout, network-induced delay and noise etc.
该模式充分利用了目前无线传感器网络部署中提出的分簇算法，并结合随机密钥预分布模型的优点。
The new scheme exploits the clustering algorithm of WSN deployment and the merit of random key pre-distribution.
该模式充分利用了目前无线传感器网络部署中提出的分簇算法，并结合随机密钥预分布模型的优点。
The new scheme exploits the clustering algorithm of WSN deployment and the merit of random key pre-distribution.
应用推荐