计算机内存的分类及优化管理     

范崎 《华东地质学院学报》1997,20(3):284-287

本文从计算机应用角度出发，介绍了计算机内存的基本结构及其类型内存配置对计算机工作的影响，同时讨论了如何合理计算机内存，以便充分发挥计算机的优势。  相似文献   

江苏及南黄海地区历史地震类型分布特征          下载免费PDF全文

田建明  徐徐  谢华章  杨云  丁政 《地震学报》2004,26(4):432-439

通过对江苏地区及南黄海海域历史地震资料特点分析，将研究区历史地震类型分为相对安全类和相对危险类，并对地震类型的统计结果、地理分布特征及构造进行探讨. 结果表明:① 江苏及南黄海地区绝大多数中强以上历史地震类型为相对安全类，仅有13.8%的中强以上历史地震为相对危险类；② 江苏陆地、长江口以东海域和南黄海北部坳陷地区以相对安全类地震为主，苏中沿海南黄海海域地震类型分布较为复杂，相对安全类和相对危险类地震类型比例基本相当；③ 研究区历史地震类型统计结果和空间分布特征与现代地震序列类型实况非常吻合，反映本区地震活动具有继承性的特点.研究结果可以作为江苏省地震应急工作中震后早期趋势判定的参考依据.   相似文献   

澜沧江某水电站左岸地下式厂房岩体质量分级     

喻望  卢书强 《矿产与地质》2004,18(3):282-286

通过大量的现场调查数据与统计工作结果，采用了多种岩体质量分级评价方案，对澜沧江某水电站左岸地下式厂房岩体质量进行了精细的评价，最后将各种结果进行对比分析，得到一个合理、科学的综合岩体质量综合评价分级。并根据评价结果，作出了研究区坝址左岸地下式厂房岩体在不同高程的岩体质量分区图，为下一步的参数选取工作奠定了必要的基础。  相似文献   

豫西金矿类型划分   总被引：2，自引：0，他引：2  

李宗彦  杨鑫生 《矿产与地质》2004,18(6):559-562

豫西金矿矿床类型复杂，在前人的金矿床类型划分的基础上，根据豫西金矿床明显的野外地质特征，提出了豫西金矿类型划分方案，并对各金矿床类型的地质特征进行了简述，同时，对它们之间的共性作了总结。指出：豫西各类金矿类型之间既存明显的区别又具有密切的时间和空间上的成因联系，这一特点对用于拓宽该地区进一步的金矿找矿思路是十分必要的。  相似文献   

Geological controls on rock mass classification of coal from Huntly East Mine, New Zealand     

Vicki Moon  Trisha Roy 《Engineering Geology》2004,75(2):201-213

Rock Mass Rating (RMR) measurements from 65 sites within Huntly East underground coal mine are presented. All measurements are in coal, for which the dominant discontinuities are vertical cleat. Basic RMR values using two discontinuity spacings are presented: overall RMR based on the average spacing of all individual discontinuities; and cleat zone RMR based on the average spacing between zones of cleat. Cleat orientations are highly variable, but on average approximately parallel horizontal stress axes (face cleat follows maximum horizontal stress axis, butt cleat follows minimum horizontal stress axis).Contours of RMR variations throughout the mine are used to compare rock mass conditions with geological structure. It is apparent that: (1) RMR is least within downthrown fault blocks, and particularly immediately on the downthrown sides of faults, and greatest in upthrown fault blocks; and (2) RMR contours parallel horizontal stress axes within fault-bounded blocks, and bend to parallel faults at block boundaries. From similar contours for parameters contributing to RMR, the Rock Quality Designation (RQD), groundwater rating, and discontinuity condition rating create most of the observed variations in RMR. RQD is determined from the measured discontinuity frequency and hence is a measure of the degree of fracturing of the rock mass. This is interpreted as influencing the groundwater and condition parameters directly by allowing greater water ingress. Discontinuity frequency is greatest (least spacing) in the immediate vicinity of faults, and in downthrown fault blocks, generating low RMR values. Within fault blocks RQD varies little, so RMR contours align with cleat orientations.As RMR contours, faults, stress field and cleat orientation are clearly interrelated, there is unequivocally a connection between RMR and structural geology; this allows some predictive capacity in terms of ground conditions. If geological features can be accurately defined through either drilling programs or seismic surveys, then ground conditions may be predicted before panels are driven.  相似文献   

Fuzzy set approaches to classification of rock masses   总被引：6，自引：0，他引：6  

A. Aydin   《Engineering Geology》2004,74(3-4):227-245

Rock mass classification is analogous to multi-feature pattern recognition problem. The objective is to assign a rock mass to one of the pre-defined classes using a given set of criteria. This process involves a number of subjective uncertainties stemming from: (a) qualitative (linguistic) criteria; (b) sharp class boundaries; (c) fixed rating (or weight) scales; and (d) variable input reliability. Fuzzy set theory enables a soft approach to account for these uncertainties by allowing the expert to participate in this process in several ways. Hence, this study was designed to investigate the earlier fuzzy rock mass classification attempts and to devise improved methodologies to utilize the theory more accurately and efficiently. As in the earlier studies, the Rock Mass Rating (RMR) system was adopted as a reference conventional classification system because of its simple linear aggregation.

The proposed classification approach is based on the concept of partial fuzzy sets representing the variable importance or recognition power of each criterion in the universal domain of rock mass quality. The method enables one to evaluate rock mass quality using any set of criteria, and it is easy to implement. To reduce uncertainties due to project- and lithology-dependent variations, partial membership functions were formulated considering shallow (<200 m) tunneling in granitic rock masses. This facilitated a detailed expression of the variations in the classification power of each criterion along the corresponding universal domains. The binary relationship tables generated using these functions were processed not to derive a single class but rather to plot criterion contribution trends (stacked area graphs) and belief surface contours, which proved to be very satisfactory in difficult decision situations. Four input scenarios were selected to demonstrate the efficiency of the proposed approach in different situations and with reference to the earlier approaches.  相似文献   

A rippability classification system for marls in lignite mines   总被引：1，自引：0，他引：1  

H. Basarir  C. Karpuz   《Engineering Geology》2004,74(3-4):303-318

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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   

论新土地分类在1∶1000土地利用现状调查中的应用     

曾乐春  王兆礼  简陆芽 《云南地理环境研究》2004,(4)

根据新土地分类在南海区1∶1000土地利用现状调查中的应用,采用文献分析法和实例验证法,探讨其在大比例尺土地利用现状调查中的适用性。结果表明:新土地分类在使用中存在诸如分类层次数目少且略显粗糙以及界线不严谨等问题。提出建议:增加分类层次熏进一步细化分类;更清晰表达地类涵义以及统一分类标准等。  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