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Base on comparison with the remote sensing data in 1982 and 2000 and field investigation, the results of land cover and land use change were obtained by the method of landscape analysis. Ten types of land use were identified: riparian woods, riparian shrubbery, desert shrubbery, desert grassland, river-way and water area, salinised land, town, Gobi, shift sand dune, denudative upland. The results show that,(1) there were obvious changes in land cover structure.

根据黑河下游额济纳绿洲土地生态分类,利用1982年与2000年2期TM遥感数据对比和野外实地调查,采用景观生态空间分布格局分析方法,分为河岸乔木林、河岸灌草林、荒漠稀疏灌丛、荒漠稀疏草地、河道与水域、盐碱化土地、城镇、戈壁、流动沙丘和剥蚀地山丘陵,从各类土地分布面积变化和类型转移趋向与幅度两个方面,分析了额济纳绿洲20年来土地覆被变化。

The first part is the introduction, which generally introduces the research purpose and significance of this thesis, the summary of the financial pre-warning researches both home and abroad, and the research main contexts and research methods; The second part is the comparison on the financial pre-warning methods existent, which compares the different methods by categories, makes a further analysis on the limits of existent methods, and proposes the improve thoughts of this research based on that; The third part is the basic theory, which makes a summary of the referent theories exerted on the research, and exposit the comparing mechanism of the grey prediction theory and the artificial neural network method concise; The fourth part is the frame work of the model, which illuminates the research designs step by step, such as the definition of the financial crisis, the method of sample select, the select and definition of the pre-warning variables, and makes an exposition of the establishment procedures of the whole models at last; The fifth part is the financial pre-warning based on the theory of grey prediction and artificial neural network, which mainly demonstrate the model establishment in the concrete, dividing into four part to carry out the part of pragmatic research integrally, building of indexes system, establishment of BP neural networks, dynamic financial pre-warning and test, analysis on the pre-warning result; The sixth part is conclusion, which sums up the main results of the whole research, clarifies the innovative points, and makes a discussion on the limits and future study directions of the research in this thesis.

其中,第一部分为导论,总括性概述本文的研究目的与意义,国内外研究综述,以及本文的研究内容和方法;第二部分为现有财务预警研究方法剖析,通过对现有预警方法进行分类比较,进一步分析现有预警方法的局限性,并在此基础上提出本文研究的改进思路;第三部分基本理论,对本文研究中运用的相关理论进行扼要概述,并简要阐述灰色预测理论与人工神经方法的融合机理;第四部分为模型研究框架,逐步阐释模型对财务困境的界定,样本数据的选取方法,预警变量的选取与定义等各个部分的研究设计,并对整体模型的构建步骤进行简要阐述;第五部分为基于灰色神经网络模型的财务预警,主要论述动态预警模型的具体实现过程,分模型指标体系的建立,BP神经网络的建立,动态财务预警与检验,以及预警结果分析四个部分全面阐述本文实证分析过程;第六部分为结论,总结本文研究得到的主要研究结论,以及本文研究中的创新之处,并对论文的不足与后续发展研究进行探讨。

Phylogenetic analyses indicated that Accipitridae was closer to Strigidae instead of Falconidae, and the classification of Tytonidae was different from the previously morphological and DNA-DNA hybridization study.

系统发育分析显示,隼形目鹰科更接近于鸱鸮科而不是隼科,而草鸮科的分类地位也与传统的形态学和DNA-DNA杂交数据的结论存在分歧。

Phylogenetic analyses indicated that Accipitridae was closer to Strigidae instead of Falconidae,and the classification of Tytonidae was different from the conclusion from the previously morphological and DNA-DNA hybridization studies.

系统发育分析显示,隼形目鹰科更接近于鸱鸮科而不是隼科,而草鸮科的分类地位也与传统的形态学和DNA-DNA杂交数据的结论存在分歧。

In this paper, data of 3061 surface (0~20 cm) soil samples containing 52 elements total contents and pH values obtained from Chengdu Economic Zone, Sichuan Province, are analyzed by cluster analysis, the numbers of which are equal to the group ones of soil genesic classification.

利用四川省成都经济区多目标地球化学调查获得的3061个浅层土壤样品(0~20cm)的52个元素全量和pH值分析数据,按照已知的土壤发生分类类数(8种土类)进行了样品聚类分析。

Has also been considered during the revision.More than 1,100 specimens from 11 herbaria worldwide have been examined. After having studied the characteristics, phenology and ecological habit, we have gotten the morphological figures of each species. The characteristics of the disputed species have been studied in detail and have been quantitatively analyzed though scatter-map.

查阅和借阅了2个国家11个标本馆1100余份南五味子属标本,对世界范围的南五味子属种类作了整理,描绘了每个种的性状特征、物候期、生态习性,绘出了形态线描图,讨论了与其近缘属种间的关系;对在分类学上有争议的种类进一步进行解剖和测量,详细记录枝、叶、花、果实、种子等的形状、大小、数目、颜色、毛被等数据或信息,绘制散点图,对各种性状作定量研究,进行分析、归纳与分类。

The algorithm first used KNNModel to build multiple clusters on a given dataset and chose few clusters for each class as representatives to construct a hieratical coding matrix in training phase, and then the matrix was used to train each single classifier.

该算法在训练阶段先通过KNN模型算法在数据集上构建多个同类簇,选取各类中最具代表性的簇形成层次编码矩阵,然后再根据编码矩阵进行单分类器训练。

These were analyzed according to histologic subtypes defined by the latest (2002) World Health Organization classification.

这些数据根据最新的(2002)世界卫生组织分类定义的组织学亚型进行了分析。

Structure and spectral characteristic s of Diels-Alder type adducts from Morus;2. With the Taibei salt refinery of Lianyungang City as an example, an analysis was made of the spectral characteristic s of different kinds of substances detected in salt fields.

以连云港台北盐场为例,分析了盐田内各类实测的地物光谱特征;对2000年的遥感影像数据进行大气校正和几何校正;再利用主成分融合技术,将多波段的ETM影像与对应的全色波段影像进行主成分融合,在此基础上进行盐田水体分类。

The application of BP nerval network to failure diagnosis of hydraulic systems in construction machinery is studied. Through collection of the system data, derivation of eigenvectors and structure of classifiers, a learning algorithm is established on the basis of network training. Tests show that satisfactory results can be obtained by the nerval network.

将BP神经网络理论应用于工程机械液压系统故障诊断中进行研究,通过系统数据的采集、特征向量的提取和分类器的构造,在对网络进行训练的基础上,建立了学习算法,通过试验可以看出神经网络能给出的满意结果。

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