H stochastic network method for the analysis of the statistical parameters of load effects on structural systems is presented in this paper.
本文提出了分析结构系统荷载效应统计参数的随机网络法。
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.
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。
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).
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。
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.
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。
The learning process of a neural network is considered the process in which neural network variables are changed with a time series of input signals generated from a stochastic information source.
根据该理论，学习过程就是由随机信息源产生的输入信号驱动神经网络参数不断修改的过程；
Based on the model which was put forward by SANCHEZ, the stochastic resonance phenomena in the field-driven and spin-like model on Small-World network with directed links were investigated.
基于SANCHEZ提出的有向的小世界类自旋网络模型，研究了引入周期性磁场驱动后所引起的相变特征。
To accord with the network malfunction's randomicity, the stochastic malfunction simulation and realizes the topology tracking using the DFS in objected-oriented environment are realized.
并针对电网故障的随机性特点，在面向对象环境中实现了对随机故障的模拟，同时用深度优先算法进行了快速的拓扑跟踪。
Network systems are sorted according to the redundancy techniques adapted and corresponding stochastic models are constructed, survivability based on different application requirement are evaluated.
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。
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.
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。
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.
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 fluid logic sequential network can be classified as deterministic logic circuit and stochastic logic circuit.
流体逻辑时序线路分为确定型逻辑线路和随机型线路。
Network bottleneck capacity expansion problem with stochastic cost is originally formulated as chance-dependent programming model.
带有随机单位扩张费用的网络瓶颈容量扩张问题可以列出它的相关机会规划模型的通用表达式。
On the condition that the stochastic equilibrium restraints are satisfied as the network clients select the path, the author presents bilevel planning model for traffic network design.
在考虑网络中用户的路径选择行为满足概率型随机平衡的条件下，给出了交通网络设计的双层规划模型，同时设计了基于差分的启发式求解算法。
Fifthly, optimization model and its algorithm for large-scale stochastic transportation network are studied.
第五，大规模随机运输网络优化建模及算法。
The impact of stochastic factor and delay on stability of the neural network is significant to investigate the stability of stochastic neural network with delay.
考虑到随机因素及时滞对神经网络系统的稳定性的影响，这使得研究随机时滞神经网络的稳定性具有深远意义。
In a network with wormhole routing, the message arrival is not a simple event, but a lasting process with stochastic character.
在采用虫孔寻径的网络中，消息的到达不是一个简单的事件，而是一个具有随机性的持续过程。
This paper analyzes the random variation in the travel time on stochastic road network and redefines the travel time reliability.
分析了随机路网中行程时间的随机变动，并重新定义了行程时间可靠性。
A fast stochastic global optimization algorithm, particle group optimization algorithm, was used for training the fuzzy neural network.
模糊神经网络的学习算法采用的是快速的粒子群优化算法。
Factors influencing the extra large power network are very complicated, and variation of load is of a non steady stochastic process.
影响特大型电网短期负荷的因素十分复杂，负荷变化属非平稳的随机过程。
Compared with two modes network, the stochastic-flow traffic network is more suitable for describing the transportation system in the real life.
与二态网络相比，随机流量交通网络更适于描述现实生活中的交通系统。
The problem of vehicle routing is discussed in a dynamic and stochastic traffic network with real-time information.
讨论了在动态随机网基于实时信息的车辆导航问题。
Secondly, stochastic assessment of voltage sags is studied and a new method for multiple-meshed network is presented.
其次，对电压骤降随机预估的方法进行了研究，针对多网孔输电系统提出了一种新的随机预估方法。
A linear quadratic Gaussian (LQG) stochastic optimal control was developed for networked control systems with network-induced delays longer than a sampling period using a time-division control mode.
对于网络诱发延迟大于一个采样周期的网络化控制系统，该文研究了该系统的线性二次Gauss (LQG)随机最优控制问题，提出了一种新的分时控制模式。
A numerical analysis of a small network shows that the proposed model can reflect the real behavior of travelers in route choice from a stochastic transportation network.
最后在一个小型测试网络上对模型分配结果进行了测试，测试结果符合实际情况，表明模型能够较好地反映出行者的路径选择行为。
This paper compares three different types of network paths which are used in stochastic traffic assignment, and presents a new method for implementing stochastic assignment excluding all cyclic flows.
对用于随机交通分配的三种不同路径进行了比较和分析 ，研究了无环简单路径的寻求方法和无环简单路径集上的随机交通分配问题 。
Thirdly, frequency-domain model of stochastic transportation network optimization and its algorithm with some constrained conditions are studied.
通过算例分析验证了所给出的模型及其优化算法的有效性。
Artificial neural network series models break a new approach for stochastic modeling in computing design flood.
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.
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。
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