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geological variable    
相关语句
  地质变量
    ESTIMATION OF FRACTAL DIMENSION FOR QUALITATIVE GEOLOGICAL VARIABLE AND MICRO—GEOLOGICAL ANOMALY
    定性地质变量分维数估计与显微地质异常
短句来源
    There are two errors between the equation of trend surface and the curved surface of the geological variable space the model error of the data information-it is the major primitive data resulted from different geoloical curved surface and the very much scarce data points which can not make convexity of the geological curved surface;
    趋势面方程与地质变量空间曲面之间存在两种误差:数据信息模型误差——主要由原始数据来自不同地质曲面和数据点太稀未能使地质曲面保凸所引起;
短句来源
    and metallogenic or ore-controlling geological variables (quantitative geological variable, qualitive variable and semiquantitative variable). The signiticances of geological variables are measured by τ -rank coefficients of geological variables and objective variable. The potentials of mineral resources targets are measured by relativities of ore deposit cells.
    该方法以评价目标变量(矿床的资源量、矿床规模等)与成矿和控矿地质变量(定量地质变量、半定量地质变量和定性地质变量)之间的秩相关性研究为基础,用地质变量与目标变量之间的τ秩相关系数来衡量地质变量的重要程度,用矿床统计单元之间的联系度来评价资源靶区的优劣
短句来源
    It is the geological data pretreatment to set off cells of geological body and to select model and forecast cells and to pick up and to evaluate geological variable, the evaluated geological cells are finally gridded by GIS.
    地质数据预处理,就是在深入研究测区的地质资料的基础上,对地质体进行单元划分、选择模型单元和预测单元、提取地质变量并赋值,最后对赋过值的地质单元利用GIS进行网格化。
短句来源
    The deficiency of traditional estimating method which is used to build coal bed geological model is analyzed. The theory and method of neural network, and the feasibility and superiority of building the coal bed geological model are also discussed by considering the geological variable characteristics, such as space territory, continuity, anisotropism and great non liner relation. The neural network used to estimate the geological variables is built, and the non liner mapping relation between geological variables and their influence factors is described also.
    分析了建立矿床地质模型传统的估值方法的不足 ,针对地质变量之间具有空间局域性、连续性和各向异性 ,以及高度非线性关系的特征 ,阐述了应用人工神经网络原理和方法建立矿床地质模型的可能性和优越性 ,建立了地质变量参数估值计算的神经网络模型的基本结构 ,描述了地质变量与其影响因素之间的非线性映射关系 ,从而提出了基于人工神经网络原理的地质模型估值方法
短句来源
更多       
  地质变量
    ESTIMATION OF FRACTAL DIMENSION FOR QUALITATIVE GEOLOGICAL VARIABLE AND MICRO—GEOLOGICAL ANOMALY
    定性地质变量分维数估计与显微地质异常
短句来源
    There are two errors between the equation of trend surface and the curved surface of the geological variable space the model error of the data information-it is the major primitive data resulted from different geoloical curved surface and the very much scarce data points which can not make convexity of the geological curved surface;
    趋势面方程与地质变量空间曲面之间存在两种误差:数据信息模型误差——主要由原始数据来自不同地质曲面和数据点太稀未能使地质曲面保凸所引起;
短句来源
    and metallogenic or ore-controlling geological variables (quantitative geological variable, qualitive variable and semiquantitative variable). The signiticances of geological variables are measured by τ -rank coefficients of geological variables and objective variable. The potentials of mineral resources targets are measured by relativities of ore deposit cells.
    该方法以评价目标变量(矿床的资源量、矿床规模等)与成矿和控矿地质变量(定量地质变量、半定量地质变量和定性地质变量)之间的秩相关性研究为基础,用地质变量与目标变量之间的τ秩相关系数来衡量地质变量的重要程度,用矿床统计单元之间的联系度来评价资源靶区的优劣
短句来源
    It is the geological data pretreatment to set off cells of geological body and to select model and forecast cells and to pick up and to evaluate geological variable, the evaluated geological cells are finally gridded by GIS.
    地质数据预处理,就是在深入研究测区的地质资料的基础上,对地质体进行单元划分、选择模型单元和预测单元、提取地质变量并赋值,最后对赋过值的地质单元利用GIS进行网格化。
短句来源
    The deficiency of traditional estimating method which is used to build coal bed geological model is analyzed. The theory and method of neural network, and the feasibility and superiority of building the coal bed geological model are also discussed by considering the geological variable characteristics, such as space territory, continuity, anisotropism and great non liner relation. The neural network used to estimate the geological variables is built, and the non liner mapping relation between geological variables and their influence factors is described also.
    分析了建立矿床地质模型传统的估值方法的不足 ,针对地质变量之间具有空间局域性、连续性和各向异性 ,以及高度非线性关系的特征 ,阐述了应用人工神经网络原理和方法建立矿床地质模型的可能性和优越性 ,建立了地质变量参数估值计算的神经网络模型的基本结构 ,描述了地质变量与其影响因素之间的非线性映射关系 ,从而提出了基于人工神经网络原理的地质模型估值方法
短句来源
更多       
  地质变量的
    and metallogenic or ore-controlling geological variables (quantitative geological variable, qualitive variable and semiquantitative variable). The signiticances of geological variables are measured by τ -rank coefficients of geological variables and objective variable. The potentials of mineral resources targets are measured by relativities of ore deposit cells.
    该方法以评价目标变量(矿床的资源量、矿床规模等)与成矿和控矿地质变量(定量地质变量、半定量地质变量和定性地质变量)之间的秩相关性研究为基础,用地质变量与目标变量之间的τ秩相关系数来衡量地质变量的重要程度,用矿床统计单元之间的联系度来评价资源靶区的优劣
短句来源
    THE MULTISTAGE DECOMPOSITION OF GEOLOGICAL VARIABLE AND ITS APPLICATION
    地质变量的多级分解及其应用
短句来源
    The study on the geological variables includes the types of geological data,the types of geological variables,the principle and method for geological variable selecting and the method of geological variable converting.
    地质变量的研究包括地质数据类型、地质变量类型、地质变量的选取原则和方法、地质变量变换的方法.
短句来源
  地质变量
    ESTIMATION OF FRACTAL DIMENSION FOR QUALITATIVE GEOLOGICAL VARIABLE AND MICRO—GEOLOGICAL ANOMALY
    定性地质变量分维数估计与显微地质异常
短句来源
    There are two errors between the equation of trend surface and the curved surface of the geological variable space the model error of the data information-it is the major primitive data resulted from different geoloical curved surface and the very much scarce data points which can not make convexity of the geological curved surface;
    趋势面方程与地质变量空间曲面之间存在两种误差:数据信息模型误差——主要由原始数据来自不同地质曲面和数据点太稀未能使地质曲面保凸所引起;
短句来源
    and metallogenic or ore-controlling geological variables (quantitative geological variable, qualitive variable and semiquantitative variable). The signiticances of geological variables are measured by τ -rank coefficients of geological variables and objective variable. The potentials of mineral resources targets are measured by relativities of ore deposit cells.
    该方法以评价目标变量(矿床的资源量、矿床规模等)与成矿和控矿地质变量(定量地质变量、半定量地质变量和定性地质变量)之间的秩相关性研究为基础,用地质变量与目标变量之间的τ秩相关系数来衡量地质变量的重要程度,用矿床统计单元之间的联系度来评价资源靶区的优劣
短句来源
    It is the geological data pretreatment to set off cells of geological body and to select model and forecast cells and to pick up and to evaluate geological variable, the evaluated geological cells are finally gridded by GIS.
    地质数据预处理,就是在深入研究测区的地质资料的基础上,对地质体进行单元划分、选择模型单元和预测单元、提取地质变量并赋值,最后对赋过值的地质单元利用GIS进行网格化。
短句来源
    The deficiency of traditional estimating method which is used to build coal bed geological model is analyzed. The theory and method of neural network, and the feasibility and superiority of building the coal bed geological model are also discussed by considering the geological variable characteristics, such as space territory, continuity, anisotropism and great non liner relation. The neural network used to estimate the geological variables is built, and the non liner mapping relation between geological variables and their influence factors is described also.
    分析了建立矿床地质模型传统的估值方法的不足 ,针对地质变量之间具有空间局域性、连续性和各向异性 ,以及高度非线性关系的特征 ,阐述了应用人工神经网络原理和方法建立矿床地质模型的可能性和优越性 ,建立了地质变量参数估值计算的神经网络模型的基本结构 ,描述了地质变量与其影响因素之间的非线性映射关系 ,从而提出了基于人工神经网络原理的地质模型估值方法
短句来源
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  geological variable
In addition, the experimental PCSVs provide basic information about the heterogeneity of the geological variable in the region, and furthermore many useful interpretations can be made concerning the regional variability of the variable.
      
In order to avoid these problems, a special type of geological variable, referred to as the target variable appears in a favorability equation.
      


There are two errors between the equation of trend surface and the curved surface of the geological variable space the model error of the data information-it is the major primitive data resulted from different geoloical curved surface and the very much scarce data points which can not make convexity of the geological curved surface; The error of mathematical model is mostly resulted from near properties of the equations of trend surface. Therefore,the equations of trend surface are not suitable for...

There are two errors between the equation of trend surface and the curved surface of the geological variable space the model error of the data information-it is the major primitive data resulted from different geoloical curved surface and the very much scarce data points which can not make convexity of the geological curved surface; The error of mathematical model is mostly resulted from near properties of the equations of trend surface. Therefore,the equations of trend surface are not suitable for the tool of calculation.The general fitting degree only reflects the error of mathematical model. In the analysis of trend surface,the law of main change of the geological variation has been protruded. The law is influenced by the neglecting relative secondary factor or change effect ot variety, that is, it is performed by the relative smoothing of the trend surface. In order that the analysis of trend surface achieves good results, suitable condition of the trend surface must be defined and the general model of the mathematical geology must be followed.

趋势面方程与地质变量空间曲面之间存在两种误差:数据信息模型误差——主要由原始数据来自不同地质曲面和数据点太稀未能使地质曲面保凸所引起;数学模型误差——主要由趋势面方程的逼近特性所引起.所以趋势面方程不宜作为精确计算的工具.通常的拟合度仅反映了数学模型误差.趋势面分析中突出地质变量的主要变化规律,是由忽略相对次要因素或次级变化的影响,即由趋势面的相对平滑来实现的.要使趋势面分析获得好的效果,要明确它的适用条件并遵循数学地质一般模式.

The authors of this paper proposed a new statistical method so called rank correlation weight method used for locative prediction of mineral resources targets. This method is based on rank correlation of objective variables (quantity of mineral resourcs, metallogenic size, etc.) and metallogenic or ore-controlling geological variables (quantitative geological variable, qualitive variable and semiquantitative variable). The signiticances of geological variables are measured by τ -rank coefficients...

The authors of this paper proposed a new statistical method so called rank correlation weight method used for locative prediction of mineral resources targets. This method is based on rank correlation of objective variables (quantity of mineral resourcs, metallogenic size, etc.) and metallogenic or ore-controlling geological variables (quantitative geological variable, qualitive variable and semiquantitative variable). The signiticances of geological variables are measured by τ -rank coefficients of geological variables and objective variable. The potentials of mineral resources targets are measured by relativities of ore deposit cells.

提出了一种矿产资源靶区定位预测的统计方法秩相关权法。该方法以评价目标变量(矿床的资源量、矿床规模等)与成矿和控矿地质变量(定量地质变量、半定量地质变量和定性地质变量)之间的秩相关性研究为基础,用地质变量与目标变量之间的τ秩相关系数来衡量地质变量的重要程度,用矿床统计单元之间的联系度来评价资源靶区的优劣

The deficiency of traditional estimating method which is used to build coal bed geological model is analyzed. The theory and method of neural network, and the feasibility and superiority of building the coal bed geological model are also discussed by considering the geological variable characteristics, such as space territory, continuity, anisotropism and great non liner relation. The neural network used to estimate the geological variables is built, and the non liner mapping relation between geological...

The deficiency of traditional estimating method which is used to build coal bed geological model is analyzed. The theory and method of neural network, and the feasibility and superiority of building the coal bed geological model are also discussed by considering the geological variable characteristics, such as space territory, continuity, anisotropism and great non liner relation. The neural network used to estimate the geological variables is built, and the non liner mapping relation between geological variables and their influence factors is described also. Thereby the estimating method of geological model based on neural network is brought forward.

分析了建立矿床地质模型传统的估值方法的不足 ,针对地质变量之间具有空间局域性、连续性和各向异性 ,以及高度非线性关系的特征 ,阐述了应用人工神经网络原理和方法建立矿床地质模型的可能性和优越性 ,建立了地质变量参数估值计算的神经网络模型的基本结构 ,描述了地质变量与其影响因素之间的非线性映射关系 ,从而提出了基于人工神经网络原理的地质模型估值方法

 
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