periodic classification

periodic classification的基本解释

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周期分类

与periodic classification相关的网络例句 [注：此内容来源于网络，仅供参考]

Our results improve the former results. For periodic Jacobi matrix, some new spectral properties of periodic Jacobi matrix are given by studying the relationship of the eigenvalues of periodic Jacobi matrix and its n—1 principal submatrix. Applying these spectral properties, we present a necessary and sufficient condition for the solvability of an inverse problem of periodic Jacobi matrices and discuss the number and the relationship of its solutions. Furthermore, we propose a new algorithm to construct its solution and compare it with the former algorithms. As this inverse problem of periodic Jacobi matrix usually has multiple solutions as many other eigenvalue inverse problems, we study the uniqueness of this problem. And a necessary and sufficient condition is given to ensure its uniqueness, under which an algorithm is presented and the stability analysis is also given. Finally, we put forward a new inverse problem for periodic Jacobi matrix which has not been solved.

对周期Jacobi矩阵特征值反问题，通过研究周期Jacobi矩阵与其n-1阶主子阵特征值的关系，给出了周期Jacobi矩阵的一些新的谱性质；利用这些谱性质，研究了一类周期Jacobi矩阵特征值反问题，用新的方法推导出了该类特征值反问题有解的充分必要条件，并讨论了解的个数以及解与解之间的关系；此外，提出了一种新的构造周期Jacobi矩阵反问题解的数值算法，并与前人的算法做了一定比较；由于周期Jacobi矩阵特征值反问题和其他很多特征值反问题一样往往存在多个解，本论文给出了周期Jacobi矩阵反问题解唯一的充要条件，并发现周期Jacobi矩阵特征值反问题的解唯一当且仅当构造的矩阵满足一定的条件；在解唯一的情况下，给出了构造唯一解的数值算法，并做了相应的稳定性分析；最后，提出了一类新的有待于解决的周期Jacobi矩阵特征值反问题。

This article detailedly expatiated upon the principles, contents and methods of cropland classification; it analyzed the necessity to combine the work of cropland classification with GIS technology, summarized the attributions of ARC/INFOand some other related softwares; it established the technologic route of cropland classification supported by GIS, by a case study in Liwu Town,Li County Hebei Province, this article expatiated the practicable mechanism of combining the function of ARC/INFO with the work of cropland classification, and put forward some new ideas and approaches of utilizing GIS: this paper put forward the idea of coding the polygons in the basic graphic database such as soil map and land use map according to their attributes, and put forward the detailed coding project; based on the code databases, it expatiated upon the detailed approaches to create single梖actor map and output the final classification map; it put forward the principles and the method of creating classification units in the environment of GIS, that is how to keep the lines of soil polygon, the border of districts and the important objects such as residential areas, banks of rivers and roads ,and how to overlap single梖actor soil map and land use map, and to delete some vector lines of the overlapped map appropriately; it detailed the methods of creating mathematic model of classification coefficients in the environment of computer, and used FOXPRO6.0 programs to realize the automation of calculating coefficients; it represented the method of plotting the final map by overlapping various coverages according to the code tables and lookup tables, the process of outputting the cropland classifying map was finished by program.

本文法对耕地等别划分的原则、内容及方法作了较详细的阐述，介绍了多系数综合修正法的耕地等别计算方法及其具体应用和AHP的确权方法；分析了耕地等别划分工作与地理信息系统技术相结合的必要性，简要介绍了地理信息系统软件ARC／INFO及其他相关软件的功能特点，制定了地理信息系统支持下耕地等别划分的技术路线，通过对河北省蠡县蠡吾镇的实证研究，重点阐述了ARC／INFO及相关数据库软件与耕地等别划分结合的有效机制及GIS应用的一些新思想、新方法：提山了对土壤图和土地利用现状图等基础图形数据库进行特征编码的思想和具体的编码方案，阐述了基于与图形库相链接的特征编码表，单因素图提取、成果图的输出的具体实现方法；提出了GIS环境下耕地单元划分的原则和方法，即在保留土壤因素图斑界线、行政界线和重要地物等的原则下，将土壤单因素图和土地利用现状图进行拓扑叠加，对叠加图中的矢量线进行适当的删除；阐述了在计算机环境下，耕地分等参数计算模型建立的方法，并用FOXPRO6.0语言程序实现了参数计算的自动化；阐述了根据图形库特征编码表和建立绘图符号查找表，按不同图层叠加绘制成果图的方法，该过程用命令程序实现耕地等别图的输出。

The article introduces classification theory, concept, types of classification schemes and schemes of classification theory, that include three types: hierarchical classification, for example Dewey Decimal Classification; enumerate classification, for example Library of Congress of Classification

本文旨在介绍分类理论、分类法术语与概念、分类表的类型，各分类表的分类理论，并从三种不同型式，包括：阶层式的杜威十进分类法；列举式的美国国会分类法；层面式的国际十进分类法、书目分类法、冒号分类法，并预测未来分类理论及分类法的发展与趋势。

与periodic classification相关的网络解释 [注：此内容来源于网络，仅供参考]

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