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Capacity model of the minor mixed traffic flow under major stream with shifted negative exponential distribution on the unsignalized intersection is set up, and it is an extension of capacity model for mixed traffic flow.

建立了无信号交叉口主车流服从移位负指数分布下的支路多车型混合车流的通行能力模型,发展了无信号交叉口的混合车流通行能力理

For strong convective weather , it classified all historical sample events into 4 weather patterns (like northwest , trough area ,west wind and southwest current), established 4 characteristic fields of 400hPa height of HLAFS , then according to the principle of the pattern match calculate and compare the real-time HLAFS forecast products-2-using the similar method inside the big and small key areas , establish forecast equation , finally gain conclusion .To duststrom weather, the historical samples were sorted into duststrom and severe duststrom types in 5 regions (they are whole area, west, central, middle-west and middle-east of Inner Mongolia ),moreover set up different sample databases about ECMWF fields (including 500hPa height, 850hPatemperature and sea-level pressure).In order to making duststrom forecast at different time level , we first filtered the real-time data by FAX data ,and then used the method of similar range degree to compare the historical data to the actual data of ECMWF .To precipitation weather ,they were divided into 2 types that suit or unsuit airplane artificial precipitation stimulation in line with their emergence time and district .The appropriate weather physical factors come from T106 were chosen to establish the artificial precipitation stimulation prediction model . In the actual application , we can get prediction result as long as use the real-time forecast data of T213 in the prediction model .

针对强对流天气将历史样本天气分为西北气流型、槽区型、西风气流型和西南气流型等4个类型,并建立其HLAFS资料400hPa四种特征场,按照模板匹配的原理,用相似分析方法在大、小两个关键区中对实时HLAFS预报产品进行计算、比较,再建立预报方程,得出结论;对沙尘暴天气将其按区域分为全区、西部、中部、中西部以及中东部5类,再按强弱分别分为强和一般2类,建立ECMWF的3个场(500hPa高度场、850hPa温度场和海平面气压场)的历史资料库,在用传真资料消空之后,用相似离度方法计算实时ECMWF资料,做出不同时次的预报;对降水天气按出现时间和区域分为适合和不适合飞机增雨作业2类,选择T106资料中恰当的气象物理量因子,用BP神经网络算法建立人工增雨降水预报模型,实际应用中将实时T213相关预报资料代入预报模型即可。

Using software radio, this paper set up a model of the system, and demonstrates the realization of the model.

本文采用软件无线电思想,建立了系统实现模型,并论证了系统模型的可实现性。

This paper set up a new feature selection model based on natural language processing. And based on this model, analyses in terms of syntax , semantics and pragmatics .

本文建立了基于自然语言处理的文本特征提取模型,并从语法、语义和语用三个层面进行了详细地分析。

By studying and building model of each component of the whole busbar system, this paper set up a complete model of busbar system.

本文针对暂态量母线保护中研究中出现的问题,通过对母线系统中各元器件研究和建模,建立了较完善的暂态母线仿真模型。

At first, on the view of value chain, the dissertation brings out a set of process integration methodology based on value chain combining BPR thoughts, set up the virtual enterprise value chain framework and mathematics model.

本文首先从价值链的观点出发,结合BPR思想,提出了一种基于价值链的过程集成方法,建立了虚拟企业价值链框架和数学模型。

A particular time-sharing waveform control policy has been broughtforward. The model of CO_2 short circuiting transfer has been set up and the controlpolicy has been proved with the model.

在研究已有的CO_2焊物理模型和波形控制的基础上,拟定了独特的分时性波形控制策略,同时在Simulink环境中创建了CO_2焊短路过渡波形控制模型,通过仿真实验验证了该波形控制策略。

The index system in model was set up according to post evaluation content system framework set up before, it endues index with numbers, and also changes the method before only thinking much of benefit in project post evaluation.

该模型指标体系根据前文建立的后评价内容体系结构进行设置,对各项指标各赋权值,改变了以往对工程项目评价只重视效益的做法。

According to the analysis of existing local trust model, in this paper, we proposed a group-based trust model for P2P Electronic-Commerce. It portioned the whole network into three sets, and the good set of high reputation is divided into some trust groups. The exchange among these trust groups is become more believable and stable.

在分析了现有信任模型的基础上,本文提出了一种基于群体的P2P电子商务信任模型,它将整个网络中的节点划分为三个集合,其中信誉值高的Good集合再由若干信任群所组成,在此信任群之间的交易显得更可信、更稳定。

In this paper we construct a new model of training that take pre-index training class standards and the keywords emerged as both approximated and precised knowledge and draw some conclusions about the relationship between training class and key features in model of rough set.

本文提出一种新的训练模型,即将训练预分类标准和关键字出现视为不可分关系,形成确定的知识,同时又将其视为不确定的知识。并以此作为粗糙操作的基础。

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推荐网络例句

I didn't watch TV last night, because it .

昨晚我没有看电视,因为电视机坏了。

Since this year, in a lot of villages of Beijing, TV of elevator liquid crystal was removed.

今年以来,在北京的很多小区里,电梯液晶电视被撤了下来。

I'm running my simile to an extreme.

我比喻得过头了。