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minging相关的网络例句

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Based on the analysis of the factors caused land subsidence, the internal mechanism and development process of land subsidence caused by two mainly factors of dewatering and underground mining have been studyed in this thesis. The random medium model and methods have been established to calculate the land subsidence and deformation caused by dewatering or underground minging and both of them. The prediction problem of land subsidence and deformation caused by single factor and many factors has been solved.

本文在分析引起地面沉降原因的基础上,针对引起地面沉降变形的主要因素——地下水疏降和固体矿物开采,分析、研究了其引起地面沉降变形的内在机理和发展过程,推导出地下水疏降和地下固体矿物开采引起的地面沉降变形计算的随机介质模型,给出了具体的计算方法和计算步骤,并将固体矿物开采和岩土体疏水等导致地表沉降视为相互独立的事件,解决了固体矿物开采和地下水疏降共同作用下的地面沉降变形的线性叠加计算问题。

At the same time, the stripping ratio control measours of new design open-pit and producted mine are put forward. Minging more coal with little overbueden under ensureing correspond overbueden and mining coal. This is beneficial for modern surface mining.

同时提出了新设计露天矿和生产露天矿生产剥采比的控制措施,在保证剥采不失调的前提下,尽量不进行超前剥离,用最小的生产剥采比,采出最多的有用矿物,这种方法对现代露天矿具有一定的指导意义。

In this paper, the author applied mutation theory in determining toppillar critical size in sub level mined and post filled area, and provided important value for making post minging and filling plan.

利用突变理论确定深部铜矿分段空场,嗣后充填地段的顶柱临界尺寸,为后期编制采矿和充填作业计划提供理论依据

To the question of predication in the stock market,I study some informations about data minging predication model of stock price based on neural network.I put forward to do attribute relativity analysis for inputing index variables and outputing object variables with the theory of attribute relativity analysis in the course of designing a neural networ predication model.

本文针对股市预测分析问题,对基于神经网络股市预测的数据挖掘模型进行了研究,提出在模型设计中,采用属性相关性分析理论对输入指标变量和目标变量作必要的相关性分析,以此优选输入变量组合,从而提高网络的预测性能。

Compared with other data mining platforms,such as MS SQL2005,Oracle 10g, WEKA obviously has advantages in supporting machine learning algorithms. WEKA has provided almost all kinds of machine learning algorithms and implemented in JAVA. But WEKA has a lot of disadvantages for data minging.

与其他主流挖掘平台相比,WEKA机器学习平台在支持机器学习模式识别算法方面具有明显优势,WEKA提供了目前所有主要机器学习算法的JAVA实现,但其直接用于数据挖掘还有很多不足。

Study on characteristics of mining deformation and mechanism for the "Three-soft" thick coal seam floor-example of Zhengzhou minging area.

朱术云。&三软&厚煤层底板采动变形特征及其机理研究-以郑州矿区为例。

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