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Get PriceFeb 21, 2020Mining has contributed largely to the socioeconomic development of China by providing energy resources. However, the overexploitation of mineral resources has caused considerable damage to the regional environment (Li et al. 2014b).The ecological environmental effects mainly include soil pollution (Li et al. 2014a), resource depletion, atmospheric effects, hydrological effects, invasion of non
Get PriceSep 25, 2010hi, thanks for posting this solution. I have been searching for a way to track measures from the cube to the source tables they originate from. Your solution only lacks the ability to identify the source table/column and from what I can tell, the system views doesn't supply this information, but it is possible to accomplish this by querying the solution (.cube) file.
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Get PriceFIELD MANUAL 110 Table 17-1.—A glossary of abbreviations and definitions used in permeability calculations K = Coefficient of permeability in feet (meters) per year under a unit gradient. Q = Steady flow into the well in ft3/sec [m3/sec]. H = The effective head of water in the well in feet (m). For packer tests, determining the effective head is defined
Get PriceThanks for the question, Thomas. Asked: May 02, 2000 - 3:57 pm UTC. Last updated: October 21, 2020 - 1:21 am UTC. Version: 8.1.5. Viewed 100K+ times!
Get PriceThe simplest way to separate two groups of data is with a straight line (1 dimension), flat plane (2 dimensions) or an N-dimensional hyperplane. However, there are situations where a nonlinear region can separate the groups more efficiently. SVM handles this by using a kernel function (nonlinear) to map the data into a different space where a
Get Pricedata mining. There have been many applications of cluster analysis to practical prob-lems. We provide some speciﬁc examples, organized by whether the purpose of the clustering is understanding or utility. ClusteringforUnderstanding Classes,orconceptuallymeaningfulgroups of objects that share common characteristics, play an important role in how
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Get PriceTypes of Hierarchical Clustering Algorithm. Hierarchical clustering algorithms are of 2 types: Divisive; Agglomerative; 1. Divisive. This is a top-down approach, where it initially considers the entire data as one group, and then iteratively splits the data into subgroups.
Get Priceviii RMR basic = Rock Mass Rating Basic value, (RMR for dry conditions and no adjustment for joint orientation) RMR 76 = Rock Mass Rating based on the version from 1976 Q = the rock mass Quality system (rock mass classification, NGI-index) Q' = a modified Q-system, which is stress reduction free and where the ratings given for joint orientation are ignored
Get PriceThreshold pressure of sandstone is of great importance in water jet drilling, which is regarded as an economical method to enhance the oil productivity. However, the effect of the parameters on threshold pressure jetted by water, which helps decide the pump pressure in the field test and guide the feeding velocity, remains unknown. In this paper, two nozzles are chosen as the jetting tools
Get PriceThis example illustrates the use of k-means clustering with WEKA The sample data set used for this example is based on the bank data available in comma-separated format (bank-data.csv).This document assumes that appropriate data preprocessing has been perfromed. In this case a version of the initial data set has been created in which the ID field has been removed and the children attribute
Get PriceIsolation Forest Fei Tony Liu, Kai Ming Ting Gippsland School of Information Technology Monash University, Victoria, Australia {tony.liu},{kaiming.ting}infotech.monash.edu.au
Get PriceChi Square is a widely used tool to check association and is explained here with very simple examples so that the concept is understood. Chi Square is used to check the effect of a factor on output and is also used to check goodness of fit of various distributions. Important to note : Chi Square is used when both X and Y are discrete data types.
Get PriceThe biases and weights in the Network object are all initialized randomly, using the Numpy np.random.randn function to generate Gaussian distributions with mean $0$ and standard deviation $1$. This random initialization gives our stochastic gradient descent algorithm a place to start from. In later chapters we'll find better ways of initializing the weights and biases, but this will do for now.
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Get PriceThe Manning formula is an empirical formula estimating the average velocity of a liquid flowing in a conduit that does not completely enclose the liquid, i.e., open channel flow.However, this equation is also used for calculation of flow variables in case of flow in partially full conduits, as they also possess a free surface like that of open channel flow.
Get PriceThe two parameters are: x a pointer to the dimension array. Each element contains a dimension. For a 1D histogram only x[0] is used, for a 2D histogram x[0] and x[1] is used, and for a 3D histogram x[0], x[1], and x[2] are used. For histograms, only 3 dimensions apply, but this method is also used to fit other objects, for example an ntuple could have 10 dimensions.
Get Pricepandas dataframe of block model. method: str, default 'ijk'. can be used to only calculate i, or j, or k. indexing: int, default 0. controls whether origin block has coordinates 0,0,0 or 1,1,1. xyz_cols: tuple of strings. names of x,y,z columns in model. origin: tuple of floats or ints. x,y,z origin of model -
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