Flow prediction is an important item in the construction of rail transit.
客流预测是轨道交通建设的重要基础工作。
One is free cash flow prediction in detail, the other is tendency of forecast.
另一类为自由现金流量的趋势预测。
Short—term traffic flow prediction is the basis of dynamic traffic control and guidance.
短时交通流预测是动态交通控制和诱导的前提。
The precondition and key of intelligent control of urban traffic is real time and exact traffic flow prediction.
城市交通的智能控制实现的前提和关键是实时准确的交通流量预测。
Method named BAYESIAN combined neural network model is proposed for short term traffic flow prediction in this paper.
提出一种新的贝叶斯组合神经网络模型并将其应用于短期交通流量的预测。
In response to various characteristics of the present road traffic flow prediction, a combined prediction is presented in this article.
针对当前道路交通流量预测的多种不同特性的方法，提出了一种组合预测方法。
The key problems of vehicle navigation dynamic path planning are traffic network model, path planning algorithm and traffic flow prediction.
交通网络模型、路径规划算法以及交通流预测是车辆导航动态路径规划需要解决的重点问题。
The application results show that it is an efficient method for traffic flow prediction and the prediction accuracy can meet the actual requirements.
应用结果表明该方法可以有效地对交通流量进行预测，且预测精度可以满足实际交通诱导的需要。
In order to gain effectively dynamic load balancing, it is necessary to predict host load accurately, and this is different from network flow prediction.
分布式系统中为了获得高效的动态负载均衡，需要对主机负载进行有效的预测，这区别于网络流量的预测。
Among them, traffic flow prediction especially short-term traffic flow prediction is an important factor, which decided the road weights in dynamic path planning.
其中，交通流预测尤其是短时交通流预测是动态路径规划中决定道路权重的重要因子。
Research on the passenger flow prediction mainly concentrate on medium and long term prediction in the current, less involved short term prediction for delicated demand.
客运专线的短期客流预测研究较少，现存的研究多以中长期的预测方法为主，不能做到对旅客需求精细预测的要求。
The prediction results will have direct effect on traffic control and traffic guidance. A traffic flow prediction model using support vector machines(SVMs) based method is proposed.
提出一种基于支持向量机的交通流量实时预测模型，通过采用序贯最小优化算法，能够实现对交通流量的有效预测。
The three major modules are explained including airspace flow prediction, airspace status identification and conflict solution, which uses the technique of neural network to realize.
叙述了系统的主要模型：空域流量预测模块，空域状态识别模块和冲突解决方案产生模块的实现过程。
Based on the introduction to neural network principle, two methods of solving free train schedule and traffic flow prediction in transportation system with neural network are analyzed.
在简要介绍神经网络原理的基础上，分析了采用神经网络解决交通系统中空车调度及交通流预测的原理及方法。
A large number of techniques have been applied into short-term traffic flow prediction, which can be classified into two groups: statistical models and artificial neural network model.
介绍了用于短期交通流预测的两大类模型：统计预测算法和人工神经网络模型。
By analyzing short time traffic flow time sequence property, the gray system theory is used for short time traffic flow prediction and the scrolling GM (1, 1) prediction model is set up.
通过分析短时交通流时序特性，将灰色系统理论应用于短时交通流预测，建立了滚动GM(1,1)预测模型。
This paper makes approaches to Shanghai—Jiading Light railway traffic model and vehicle type selection, fundamental flow prediction of passengers, prediction technology and procedure etc.
围绕沪嘉轻轨交通的交通模式选择条件、车辆制式的选择以及客流预测基本方法的构思、预测技术方法与流程等进行了探讨。
Past research focuses on the information content of accounting earnings and cash flow or the information content and prediction ability of stock returns, cash flow and accruals.
以往的研究均着重于会计盈余与现金流量间之信息内涵或者股票报酬、现金流量与应计项目间之信息内涵与预测能力。
The method for prediction the meter factor of the turbine flow meter by the computational fluid dynamics (CFD) software package (FLUENT) is put forward.
提出了利用计算流体力学(CFD)软件(FLUENT)进行涡轮流量传感器仪表系数预测的方法。
This article mainly introduces the prediction method of the flow pattern, pressure gradient and liquid holdup of two phase flow in horizontal pipelines.
本文着重介绍水平管中这种两相流动的流动型态、压力梯度和持液率的预测方法。
The focus of the research on the two phase flow, gas and non-Newtonian fluid in horizontal pipelines, is pressure drop, the law of liquid adhesiveness and the prediction of flow form.
水平管中气体和非牛顿液体两相流动研究的中心问题是压降和持液率的规律，以及流动型态的预测。
Previously the model of prediction of traffic flow have disadvantage that the time of operation is too long and the precision is low.
目前的交通流预测模型存在着运算时间长、精度不高等缺点。
Practical prediction research of urban traffic flow shows that this model has famous predicted precision, and it can provide exact reference for urban traffic programming and control.
实际的城市交通流量预测研究表明，该模型具有较高的预测精度，可以为城市交通规划和控制提供准确的参考。
For each detected deadlock, backtracking is used to record the related paths in the control flow graph, and static branch prediction is employed to quantify its severity.
对于每个检测到的死锁，通过回溯记录控制流图中相关的路径，并利用静态分支预测量化其严重程度。
On this basic, an integrated reservior prediction technical flow was constructed to apply to the rolling exploration and development.
在此基础上，从滚动开发地质研究需要出发建立了一体化储层预测技术流程。
According to the theory of drilling hydraulics, prediction model for mud pump was established on the basis of ensuring minimum flow rate.
根据钻井水力学理论，在各井段最小排量确定的基础上，建立了泥浆泵泵压、泵功率预测模型。
In this paper, the time - sequence model of traffic flow is based on the improved BP neural network, and this model can be used for short time prediction of traffic flow.
本文采用改进型BP神经网络建立起交通流的时间序列模型，该模型可用于短期内道路交通流量的预测。
The present thesis provides a method to predict the traffic flow in a short period by combining several prediction models and artificial intelligence.
本文提出了一种将多种预测模型与人工智能技术相结合的短时交通流智能预测方法。
Using the prediction software of the fire smoke flow properties in the building, the effect of the flow coefficient on the fire smoke flow was also studied.
同时，运用建筑物火灾烟气流动性状预测计算软件，分析了门窗开度及流量系数对火灾烟流的影响。
Using the prediction software of the fire smoke flow properties in the building, the effect of the flow coefficient on the fire smoke flow was also studied.
同时，运用建筑物火灾烟气流动性状预测计算软件，分析了门窗开度及流量系数对火灾烟流的影响。
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