地球化学场精细结构解析方案与应用   总被引：2，自引：2，他引：2  

陈明何凯  王全明Jacques Yvon 《地质通报》2004,23(2):147-153

为满足勘查地球化学对化探数据处理越来越精细的要求，把人工神经网络和统计分析结合起来形成地球化学场精细结构解析方案。该方案包括对地球化学样品的分类和对各类样品性质的详细研究，目的在于提供便捷的数学和计算机软件工具，以提取化探数据中的深层信息。可以用于：①研究各组样品中元素含量水平和组合特征以解释可能的矿种；②研究元素组合特征与指示元素的关联和区别以揭示可能的成矿作用过程；③研究异常样品的空间组合属性以揭示地球化学场的精细结构；④研究异常样品之间的差异性以缩小找矿靶区；⑤综合分析以确定剥蚀深度和找矿前景。该方案也适用于环境地球化学及矿产资源预测研究。  相似文献   

Horizontal crustal movement in Chinese mainland from 1999 to 2001     

Gu Guo-hua  Fu Yang  Wang Wu-xing 《地震学报(英文版)》2004,17(1):52-60

The paper introduces the horizontal crustal movement obtained from GPS observations in the regional networks (including the basic network and the fiducial network) of the Crustal Movement Observation Network of China (CMONOC) carried out in 1999 and 2001. This paper is characterized by the acquisition of the horizontal displacement velocities during the period from 1999 to 2001 at the observation stations in the regional networks with datum definition of a group of stable stations with small mutual displacements in east China. Based on the most detailed map of horizontal crustal movement in Chinese mainland, the division of blocks, their displacements and deformations are studied. An approach to analysis of the intensity of the horizontal crustal deformation is proposed. The general characteristics of the recent horizontal crustal movement in Chinese mainland and that before the Kunlunshan earthquake of M=8.1 on November 14, 2001 are analyzed. Foundation item: The National Development and Programming Project for Key Basic Research (95-13-03-07).  相似文献   

神经网络在判别煤矿突水水源中的应用   总被引：6，自引：0，他引：6  

魏永强梁化强  任印国刘伟 《江苏地质》2004,28(1):36-38

矿井突水水源的识别是矿井防治水工作的基础，快速准确地判别突水的来源对整个矿井的安全生产起着十分重要的作用。以峰峰矿区梧桐庄矿为例，应用神经网络的方法，对矿井突水水源进行了系统研究。结果表明，运用该方法取得了较好的效果，并可以用此模型来解决类似的评价和判别问题。  相似文献   

人工神经网络在岩体质量分级中的应用   总被引：13，自引：0，他引：13  

王彪  陈剑平  李钟旭  晁军 《世界地质》2004,23(1):64-68

结合四川省金沙江某水电站工程实例，应用BP人工神经网络方法建立3层BP网络模型，选取岩石单轴抗压强度等6个影响因素为输入变量，对坝基复杂岩体进行质量分级。通过机算机Visual C 语言编程实现神经网络模型，进行网络的学习和运算。以神经网络合理结构分析方法选取合理结构，确定合理隐层单元的数量，提高网络测试的精度。对测试结果的分析发现，经过优化的BP网络模型经多次学习后，测试精度提高，结果可靠，取得较好的实际应用效果。  相似文献   

昌马水库右岸山体稳定性研究   总被引：2，自引：0，他引：2  

杨健  陈祖煜  何传永 《水文地质工程地质》2004,31(1):24-27

昌马水库导流排砂洞塌方导致右岸山体发生松动 ,本文在大量地质资料的基础上 ,对右岸岩体裂隙网络进行模拟 ,同时 ,采用极限分析能量法和有限元数值模拟方法等对右岸山体的稳定性进行分析研究 ,并提出相应的加固方案。  相似文献   

Determination and application of the weights for landslide susceptibility mapping using an artificial neural network   总被引：38，自引：0，他引：38  

Saro Lee  Joo-Hyung Ryu  Joong-Sun Won  Hyuck-Jin Park 《Engineering Geology》2004,71(3-4):289-302

The purpose of this study is the development, application, and assessment of probability and artificial neural network methods for assessing landslide susceptibility in a chosen study area. As the basic analysis tool, a Geographic Information System (GIS) was used for spatial data management and manipulation. Landslide locations and landslide-related factors such as slope, curvature, soil texture, soil drainage, effective thickness, wood type, and wood diameter were used for analyzing landslide susceptibility. A probability method was used for calculating the rating of the relative importance of each factor class to landslide occurrence. For calculating the weight of the relative importance of each factor to landslide occurrence, an artificial neural network method was developed. Using these methods, the landslide susceptibility index (LSI) was calculated using the rating and weight, and a landslide susceptibility map was produced using the index. The results of the landslide susceptibility analysis, with and without weights, were confirmed from comparison with the landslide location data. The comparison result with weighting was better than the results without weighting. The calculated weight and rating can be used to landslide susceptibility mapping.  相似文献   

基于神经网络的区域生态环境分类方法研究   总被引：3，自引：0，他引：3  

乔平林  张继贤  卢秀山  高武俊  张运生 《地理与地理信息科学》2004,20(2):97-99

如何利用智能化信息提取技术,进行区域生态环境自动分类,一直是一种前沿性研究。该文在分析研究区自然景观特征的基础上,总结了影响区域生态环境的建模要素,基于神经网络技术,并根据生态环境的遥感探测机理,利用TM卫星遥感数据中的可见光、热红外、植被指数(NDVI)以及DEM数据,建立了基于BP神经网络的区域生态环境信息自动提取模型,形成了一种新的生态环境分类方法,其分类结果与实际情况完全一致。  相似文献   

London and Frankfurt in Europe's evolving financial centre network     

James R Faulconbridge 《Area》2004,36(3):235-244

The launch of the Euro and the location of the European Central Bank in Frankfurt initially was seen as a threat to London's pre-eminent position in European financial geographies. This paper explains why in fact this was not the case. To do this, the paper is divided in two. Firstly, it reviews the literatures that help to explain financial geographies. It is argued that we need to move away from investigating attribute properties such as financial turnover and instead examine the role of networks and interdependencies in producing financial geographies. Secondly, it identifies London's dominance and Frankfurt's growth as a complementary centre through quantitative analysis and then explains how European networks and interdependencies produce this, based on insights from interviews with investment bankers and insurance institution workers in the two cities.  相似文献   

概率神经网络与BP网络模型在遥感图像分类中的对比研究   总被引：6，自引：0，他引：6  

李朝锋  杨茂龙  许磊  杨蒙召 《国土资源遥感》2004,15(4):11-13,18

通过分析概率神经网络(以下称PNN)的基本结构及其训练算法,建立了卫星图像分类的概率神经网络模型,并通过实例对比分析了概率神经网络与BP网络分类模型的分类效果。实验表明,PNN图像分类方法在分类精度上优于误差反向传播神经网络模型,且分类时间相当,是一种有效的图像分类方法。  相似文献   

我国国家大地网的地壳形变改正探讨     

杨少敏  王琪 《武汉大学学报(信息科学版)》2004,29(10):905-907

以2000网为例，根据1991～2001年累积的GPS重复观测资料，利用GIPSY软件建立具有1115个测点的地壳运动模型。在此基础上，采用双三次样条函数数值拟合法，模拟出2000网网点相对西安基准站的地壳形变改正值，并给出了效果图。  相似文献