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gray predict
相关语句
  灰色预测
     Collect, put our country (mainly the continent area) from 1966 to August of 2002 in order on the foundations of 183 M≥5 earthquake array materials, use gray predict and method of least square fit predict to examine and predict rigidly stronger aftershock when to take place of every earthquake array.
     在收集、整理1966年~2002年8月我国(主要为大陆地区)183个5级以上地震序列资料的基础上,应用灰色预测和最小二乘拟合预测方法,对每一地震序列较强(显著)余震发震时间进行"硬性"检验预测。
短句来源
     Brief introduction of calculation software and its operating explanation of earthquake array strong aftershock responding fast gray predict
     地震序列较强余震灰色预测计算软件简介及其操作说明
短句来源
     Gray Predict and Analysis of Heilongjiang Province Agriculture Machinery Total Power
     黑龙江省农机总动力灰色预测与分析
短句来源
     So gray predict and the method of least square focus on the heavy earthquake stronger aftershock predict mainly, expect to play a positive role in an urgent need work after stronger (remarkable) earthquake in scene.
     因此,灰色预测和最小二乘拟合预测方法主要着眼于对大(强)地震的较强(显著)余震预测,可望在地震现场大(强)震应急工作中发挥积极作用。
短句来源
     Gray predict control system can be applied in construction control of long-span prestressed concrete continuous bridge, and the method is simple, the result is prominent.
     灰色预测控制系统不仅可以对大跨径连续梁桥的施工进行控制,而且方法简单,效果显著。
短句来源
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  “gray predict”译为未确定词的双语例句
     Application of a kind of Modified Residual Error Gray Predict Model in Power Load Forecasting
     一种新的聚类算法在入侵检测中的应用研究
短句来源
  相似匹配句对
     Gray.
     Gray=Cystopustragopogonis(Pers.) J.
短句来源
     Gray.
     Gray),下垂虫草(Cordyceps nutans Pat.)
短句来源
     Gray system theories for the budget predict of books and journals
     利用灰色系统理论预测图书文献经费
短句来源
     The Study and Implementation of Predict Algorithm Based on Gray Theory
     基于灰色理论的预测系统框架与实现
短句来源
     Predict of Retail Industry
     预言零售全开放
短句来源
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Waterblocking is one of the most important mechanism of formaion damage in low-permeable reservoirs. The experimental study of water blocking in low-permeable sandstone formations was conducted. The influence of gas permeability, porosity, initial water saturation, drive pressure and interface tension between oil and water on water blocking has been evaluated. A gray predicting model of water blocking has been established. It concludes from this paper that, the extent of damage caused by water blocking...

Waterblocking is one of the most important mechanism of formaion damage in low-permeable reservoirs. The experimental study of water blocking in low-permeable sandstone formations was conducted. The influence of gas permeability, porosity, initial water saturation, drive pressure and interface tension between oil and water on water blocking has been evaluated. A gray predicting model of water blocking has been established. It concludes from this paper that, the extent of damage caused by water blocking increases with the decrease in gas permeability and increase in water saturation of the formation and increase in interface tension between oil and water. The gray predicting model can be used to predict the severity of water blocking in low-permeable sandstone formations quantitatively The accuracy of the model is also related to the representative core samples and experimental data.

水锁导致渗透率下降是低渗透油气层损害的主要机理之一。对低渗透砂岩储集层的水锁效应进行了实验研究,定量评价了气测渗透率、孔隙度、初始水饱和度。驱替压差和油水界面张力等因素对水锁效应的影响。在对大量实验数据进行处理的基础上,建立了低渗透砂岩储集层水锁效应的灰色静态预测模型。研究结果表明,影响低渗透砂岩储集层水锁损害程度的主要因素有:油水界面张力、气测渗透率和储集层的水饱和度。油水界面张力越高,钻井液、完井液等外来流体侵入储集层后的水饱和度越高,储集层的渗透率越低,水锁损害程度就越严重。建立的水锁效应灰色预测模型可以对低渗透砂岩储集层的水锁损害程度进行初步的定量预测,其准确程度还与实验岩样及实验数据的代表性密切相关。图2表2参6(张振华摘)

It's very convenient to get calculating results by using Excel to build calculating dieplate for the five typical gray predicting models, which offers advantages for the popularization and application of gray system.

用 Excel对 5个典型的灰色预测模型构建计算模板 ,可以很方便的获得计算结果 ,为灰色系统的普及应用创造了有利条件

During the monitoring of breathed dust in the mine, sometime lost data need supplement; sometime the data need be known ahead because of safety and environmental protection. With the adoption of GM(1,1) model in gray theory, the article predicts the density change trend of breathed dust, establishes corresponding gray predicting curve based on the analysis of dust data in four seasons in 2000 in Dexing Copper Mine, Yongping Copper Mine, Wushan Copper Mine, Yinshan Lead Zinc Mine and Dongxiang...

During the monitoring of breathed dust in the mine, sometime lost data need supplement; sometime the data need be known ahead because of safety and environmental protection. With the adoption of GM(1,1) model in gray theory, the article predicts the density change trend of breathed dust, establishes corresponding gray predicting curve based on the analysis of dust data in four seasons in 2000 in Dexing Copper Mine, Yongping Copper Mine, Wushan Copper Mine, Yinshan Lead Zinc Mine and Dongxiang Copper Mine and error analysis indicates that the curve has better predicting effect.

在矿山呼吸性粉尘监测中 ,有时需要补充缺失的数据 ,有时出于安全环保的原因 ,需要提前知道数据。本文引入了灰色理论中的GM(1,1)模型 ,对呼吸性粉尘浓度变化趋势进行预测。通过对 2 0 0 0年德兴铜矿、永平铜矿、武山铜矿、银山铅锌矿、东乡铜矿五个矿山四个季度粉尘数据进行分析 ,建立了相应的灰色预测曲线。误差分析表明 ,这些曲线有较好的预测效果。

 
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