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forecast相关的网络例句

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Software Description: Tray Weather Forecast is a est software to view weather forecast.

Tray Weather Forecast 是一款用于浏览天气预报的美国东部时区软件。

A quick and correct forecast of tidal current when oil spill occurs is a key step in the forecast of oil spill. Based on the harmonic constant of tidal component of M2, S2, O1 and K1 in Lingshan Island, Laoshantou and Chaolian Island, and by using harmonic method, the thesis first conducts a current forecast in a single point, and then builds up a current field forecast in Jiaozhou Bay and its adjacent seas. The computed results match well with the actual situation. The method reduces greatly the time of real time current forecast by not using numerical stimulation, so it fit to the two requirements of quickness and correctness in oil spill forecast system.

迅速准确地预测出溢油发生时的潮流情况是溢油环境预测的根本保证,因此文中根据灵山岛、崂山头和朝连岛三处M2、S2,、O1和K1四个主要分潮的调和常数资料,采用调和的方法进行单点的潮流预报,进而建立了胶州湾及邻近海域的预报潮流场;该方法的潮流预报结果与实际情况吻合良好,且因避开了数值计算过程而大大减少了流场实时预报的机时,符合溢油应急预报系统所要求的准确与快速。

Based on the similar area reasonably made by forecast products and the connection of forecast element of the representative station to the other stations in the similar area, and by referring to the objective forecast of refined meteorological factors or the guidance forecast products by higher levels, the platform completed modification and revisal in high space-time density and multiple forecast elemenst in the form of text and figure.

该平台在合理划分预报制作相似区的基础上,以预报制作相似区内订正点与关联点之间各预报要素关联关系为依据,以精细化气象要素客观预报产品或上级指导预报产品为预报蓝本,通过文本、图形两种修改方式,完成对高时空密度、多预报要素值的修改订正。

The Markov forecast model, time series method (triple exponential smoothing method and a combined of triple exponential smoothing method and Markov model) and stepwise regression forecast method were choosed, and the basic principles and processes of the three models were analyzed and compared. Based on above, the three methods were used to predict population dynamic of Cricetulus barabansis and Meriones unguiculatus. The characteristic, accuracy and applicability of three methods were analysed and compared. The results showed that,(1) Markov model belongs to a middle-long time forecast model, and the result was interval forecast, but it reached the requirement of forecasting the harmful population dynamic of rodents. Through the forecasted population dynamic of Cricetulus barabansis and Meriones unguiculatus in 2004, the results were accurate; this meant that Markov model was a good forecast model to Cricetulus barabansis and Meriones unguiculatus population.

选择马尔可夫链预测模型、时间序列分析法(三次指数平滑法、三次指数平滑法和马尔可夫链预测模型的组合预测法)和逐步回归预测法,对这三种模型的基本原理、模型的构建过程进行对比分析,在此基础上用此三种方法预测了黑线仓鼠和长爪沙鼠的种群数量,并对三种方法的特点、预测的准确度和适用范围进行了比较分析,结果表明:(1)马尔可夫链预测模型属于中长期预测,预测的结果为区间预测,但对于害鼠种群数量的预测来说已经达到要求,通过对2004年黑线仓鼠和长爪沙鼠种群数量的预测,预测的结果都比较准确,这说明对于预测黑线仓鼠和长爪沙鼠种群的数量动态,马尔可夫链模型是比较好的模型。

Secondly, the model of the passengers forecast were studied. The corridor analytic method was proposed in the metropolis rail transit passenger flow forecast application, The traffic district for passengers forecast was raised, which is centered on the hub, circled with the radius of attrahent scope .The forecast model applying toestimating the volume of collecting and dispersing passenger generation and transfer passenger distribution are raised, the example proved that the models are reliability and practicable.Thirdly, the plan theories of metropolitan rail transit were studied.

研究了都市圈城际轨道交通客流预测的方法;提出了走廊分析法在都市圈城际轨道交通客流预测中的应用,提出了以枢纽节点为中心、以吸引范围为半径的圆形范围为客流预测的虚拟交通小区的划分方法;并依此在确定吸引范围的基础上,提出了基于效用矩阵的都市圈轨道交通客流预测模型,实例分析证明该方法具有较强的实用性和可靠性。

The BP neural networks are used to improve remnant error model of GM (1,1) obtained forecast result carried on the combining forecast model which forecast again and has carried on the forecast to the vanadium titanomagnetite output of Pan zhihua.

这里介绍了灰色系统和BP神经网络相结合的预测原理,利用BP网络,对改进的GM(1,1)残差修正模型所得预测的结果进行再预测的组合预测模型,并对攀枝花市钒钛磁铁矿的产量进行了预测。

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。

The paper founds GM(1, 1) model of gray prediction theory in order to predict level displacement,and forecast horizontal displacement of 8-8 section of the Olympic Games project with it and compares forecast data and actual data.The result is that GM(1, 1) model may forecast short-term horizontal displacement after the model is proved eligibility. In order to manage long-term horizontal displacement,the paper founds metabolism GM(1, 1) model.At first, founding GM(1,1) model with known data and forecast next numerical value,next renewing founded GM(1,1) model with numerical value at the same time abnegating first data,and then forecast nest numerical value with same method.

本文为了预测土钉支护水平位移,建立了GM(1,1)灰色系统理论预测模型,应用灰色预测法GM(1,1)模型对奥运工程地下通道I标段8-8剖面的土钉支护产生的水平位移进行了预测,并与实测值进行比较,得出灰色预测法模型经检验合格后可以对工程进行水平位移的短期预测;为了使GM(1,1)模型同样适用于长期预测,用新陈代谢的GM(1,1)模型,即根据己知数列来建立GM(1,1)模型,预测一个灰数值,然后不断地将预测值补充到己知数列之后,每补充一个再去掉一个最老的数据构成新的数列,建立一个新的GM(1,1)模型,预测下一个值。

The automatic monitor and forecast of flood regimen system is the automatic system which adopt modem technique of real-time collection, transmission and analysis of hydrologic information, it integrate hydrologic information、telecommunication、computer and the freshly progeny of many other subject for resolving correlative problem about the monitor and forecast of flood regimen, its appearance changes the draggled state measuring the flood regimen data merely by manpower in the foretime, maximum improve the monitor and forecast speed, improve the forecast precision, and enlarge the forecasting area and content.

水情自动测报系统是采用现代科技对江河流域的水文信息进行遥测、传输和处理的集成水文自动化系统,它综合水文、通信和计算机等多学科某些新近成果,用于解决相关的水情测报问题,它的出现已大大地改变了过去只靠人工测报水情资料的落后状态,极大地提高了测报速度,提高了预报精度,也扩大了测报范围和内容。

Based on analyzing disadvantage of URT′s passenger flow forecast by the joint mode split\assignment model on all modes OD matrix, this paper presents a URT's passenger flow forecast with the joint mode split\model on cooperant and competitive OD matrix.Firstly, all modes OD matrix can be gained by trip production and distribution forecast. Secondly, coopperant and competitive OD matrix can be achieved by layered and politic mode split method. Lastly,URT forecast can be done by joint mode split\assignment model.

在分析基于全方式OD采用联合方式划分交通分配模型进行轨道客流预测不足的基础上,提出了一种基于合作竞争类OD的采用联合方式划分交通分配模型的轨道交通客流预测方法,即由出行产生和分布预测得到全方式的OD矩阵,通过分层次策略性交通方式划分法得到合作竞争类出行OD矩阵,然后采用联合方式划分交通分配模型进行轨道线网客流预测。

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相关中文对照歌词
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If you have any questions, you can contact me anytime.

如果有任何问题,你可以随时联系我。

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很漂亮,不过停机坪更迷人。那人俏皮地答道。