Sensitivity Analysis of a Feedforward Neural Network for Considering Genetic Mechanisms of Kuroko Deposits     

Matsuda  Setsuro  Koike  Katsuaki 《Natural Resources Research》2003,12(4):291-301

Exploration for volcanogenic massive sulfide deposits of the kuroko-type is underway in many places. Clarifying the spatial patterns of the metals in kuroko deposits will be useful for understanding their genetic mechanisms and for future exploration of such types of deposits. This study represents a spatial distribution analysis on the contents of principal metals of kuroko deposits: Cu, Pb, and Zn, in the Hokuroku district, northern Japan, by a feedforward neural network and 1917 sample data at 143 drillhole sites. The network, which consists of three layers, was trained by the principle of SLANS in which the numbers of neurons in the middle layer and training data are changed to improve estimation accuracy. Using the weight coefficients connecting adjacent neurons, sensitivity analysis of the neural network was carried out to identify factors influencing spatial distributions of the three metals. The coordinates depth (z) direction, Bouguer gravity, and specific lithology such as dacite were determined to be influencing factors. The high frequency of the z coordinate signifies that the metal contents differ to a large extent by depth. The sensitivity vector was defined using sensitivity coefficients for x, y, and z coordinates of an estimation point. We determined that the directions of large vectors were different inside and outside of the Hanawa-Ohdate area. This characteristic is considered to originate from the differences in the permeability of fractures that became the paths for rising ore solutions, and the depths that the solutions mixed with sea water.  相似文献   

大兴安岭北部砂宝斯金矿床控矿因素及成因   总被引：7，自引：0，他引：7  

王献忠  舒本耀  梁海军  陈满 《黄金地质》2003,9(3):45-48

砂宝斯金矿床产于中侏罗统陆相碎屑岩中，共有6条矿脉，走向近SN。矿床的形成经历了4个成矿期和6个成矿阶段。矿石类型主要为蚀变砂岩和构造破碎蚀变岩型。金矿体严格受SN和NNW向断裂控制，围岩和侵入岩参与了成矿作用。矿石Pb、S、H和O同位素分析和成矿温度研究表明，金矿成矿物质来源于深部岩浆和地层，成矿溶液是岩浆热液和大气降水的混合流体，成矿温度为200～230℃，属中低温蚀变砂岩型。  相似文献   

大兴安岭浅覆盖区生态地质评价方法初探——以1∶25万区调呼中镇幅为例   总被引：1，自引：0，他引：1       下载免费PDF全文

马江水李仰春  任凤和尤福珍 李清伟 《中国地质》2003,30(3):330-336

通过野外调查，在收集统计大量基础地质、经济地质、环境地质、旅游地质、农(林)业地质等数据信息的基础上，在GIS技术指导下，采用定量定性相结合的半定量分析评价方法，对森林浅覆盖区生态地质现状及各类资源的开发利用潜力进行了综合评价。在研究和探讨森林浅覆盖区生态地质综合评价方法的基础上，提出了森林浅覆盖区生态地质评价模型，确定了综合参数，划分了生态地质类型。  相似文献   

巴东长江公路大桥桥位边坡稳定可靠性研究     

丛培夫  杨志波 《世界地质》2003,22(3):303-308

以巴东长江公路大桥桥位边坡为例，在前人稳定性评价的基础上，建立了基于剩余推力法和Sarma法的边坡稳定可靠性分析模型，分析表明边坡系统可靠性指标(β，Pf)能更准确地表达边坡稳定性、安全性和工程风险水平。  相似文献   

Z油田低阻油层影响因素分析     

李玉宏  魏仙样  张化安  武富礼 《西北地质》2003,36(4):65-67

通过对Y油田和Z油田电阻率影响因素对电阻率的影响对比，分析了Z油田低阻的原因及各影响因素影响程度。  相似文献   

哈尔滨市地下水开采安全警戒量的研究   总被引：1，自引：0，他引：1  

朱雪芹  文丽杰  孟庆国 《水文》2003,23(3):37-39,33

明确了地下水开采安全警戒量的概念，建立了哈尔滨市地下水开采安全警戒量评价指标体系。以地下水过量开采所带来的环境负效应作为评价指标，对这些环境指标进行了量化分级、加权。运用GIS空间叠加手段，建立了研究区每个栅格的地下水开采安全警戒量评价体系，求出了哈尔滨市地下水开采安全警戒量。  相似文献   

金属因素在激电异常评价中的应用   总被引：2，自引：0，他引：2  

杨天春  吕绍林  姚成华  王齐仁 《物探与化探》2003,27(4):305-306

当激电异常较为复杂时,利用η_s(或F_s)这些激电法的基本参数难以对异常源的性质进行合理的解释.通过具体实例,说明应用激电法的二次信息--金属因素解释复杂激电异常的有效性.金属因素能将矿致异常与非矿致异常分离,对异常的定性及定量解释有很好的作用.  相似文献   

PLS法与隧道围岩稳定性分类   总被引：5，自引：0，他引：5  

解华明  丁华 《物探与化探》2003,27(4):320-322

围岩稳定性是隧道工程支护设计的基本参数,采用偏最小二乘回归法,综合考虑多因变量影响因素,对隧道围岩稳定性分类进行回归建模,并取得较好效果.  相似文献   

太平庄井地下流体动态主要干扰因素研究   总被引：1，自引：0，他引：1  

刘成龙  陶京玲  王志敏 《华北地震科学》2003,21(3):59-64

通过分析多年的观测资料，认为太平庄井地下流体动态的主要干扰因素为区域地下热水开采，其次为降雨。气压的明显变化对水位、水温也有一定干扰。区域开采造成太平庄井水位、水温同步下降，氢气测值升高；降雨导致太平庄井水位上升、水温下降。  相似文献   

The inversion of anelastic coefficient,source parameters and site respond using genetic algorithm     

刘杰  郑斯华  黄玉龙 《地震学报(英文版)》2003,16(2):226-232

It gradually becomes a common work using large seismic wave data to obtain source parameters, such as seismic moment, break radius, stress drop, with completingof digital seismic network in China (Hough, et al, 1999; Bindi, et al, 2001). These parameters are useful on earthquake prediction and seismic hazard analysis.Although the computation methods of source parameters are simple in principle and the many research works have been done, it is not easy to obtain the parameters accurately. There are two factors affecting the stability of computation results. The first one is the effect of spread path and site respond on signal. According to the research results, there are different geometrical spreading coefficients on different epicenter distance. The better method is to introduce trilinear geometrical spreading model (Atkinson, Mereu, 1992; Atkinson, Boore, 1995; WONG, et al, 2002). In addition, traditional site respond is estimated by comparing with rock station, such as linear inversion method (Andrews, 1982), but the comparative estimation will introduce some errors when selecting different stations. Some recent research results show that site respond is not flat for rock station (Moya, et al, 2000; ZHANG,. et al, 2001; JIN, et al, 2000; Dutta, et al, 2001). The second factor is to obtain low-frequency level and corner frequency fromdisplacement spectrum. Because the source spectrum model is nonlinear function,these values are obtained by eye. The subjectivity is strong. The small change of corner frequency will affect significantly the result of stress drop.  相似文献