决策规则获取算法及规则表示

提出了一种基于粗糙集理论的决策规则获取算法及实用的决策规则表示方法。产品智能设计系统中,在概念设计阶段需要决定产品的类型。一般的产品设计过程,是从分析用户给定的技术参数、设计要求开始。规则获取算法就是从设计参数中挖掘设计知识,从而确定哪种类型的产品最适合用户的要求。该算法不需要任何先验知识。为了将算法应用到实际系统中,必须解决规则表示问题。本文将关系数据库成功地应用于设计规则的表示,使设计出的专家系统推理方便,运行效率高。通过继电器智能设计实例,说明了本方法的应用。     

冬瓜山铜矿大团山矿床采矿工艺及其应用

大团山矿床-460 m以下开采时引进无轨设备开采新工艺,根据矿床的地质条件和上部开采现状以及冬瓜山铜矿老区40多年的开采成功经验,选择大直径深孔阶段空场嗣后充填采矿法,并针对盘区一步骤回采地压逐步增大的特点,优化凿岩硐室的布置形式,建成了安全、高效、灵活的无轨设备采矿新工艺。     

基于期权的矿产资源采矿权估价单因素模型

矿产资源采矿权可以被认为是一个多期多阶段的复合看涨期权,在基于期权的采矿权价值形成机理研究基础上,假定无采矿权交易成本、不考虑关闭和开启矿山时的成本和矿山的永久性废弃以及利率为无风险利率,研究了矿产资源储量价值随机波动下的基于期权的矿产资源采矿权估价单因素模型,并结合一煤炭资源实例对比了收益现值法与单因素模型,发现期权估价方法较收益现值法能提高矿产资源采矿权价值。     

软件产品线中挖掘遗留系统资产的研究与分析

介绍了成功挖掘遗留资产的过程及方法：初步信息采集、为再工程进行选项分析、技术上对资产的理解、软件资产的修复。重点讲述了面向对象封装和组件封装技术是如何应用于软件产品线，并指出了挖掘遗留资产的相应风险。     

KDD在入侵检测中的应用探讨

按照数据挖掘处理过程，对安全审计数据进行智能化处理，从大量审计数据中提取入侵模式与安全相关的系统特征属性，可建立基于数据挖掘的入侵检测模型，首先选择数据源，对数据集成、清理、变换、简化等数据预处理，针对入侵检测选择决策树算法，用决策树算法创建数据源、数据维度、多维数据集、数据挖掘模型，通过对挖掘结果和模型可视化分析处理，说明将数据挖掘技术应用于入侵检测是可行的。     

The Hybrid Finite Element Mixing Cell Method: A New Flexible Method for Modelling Mine Ground Water Problems

Dewatering operations often stop at mine closure. The ground water rebound can have undesirable consequences, which numerical models can help one understand and manage. However, classical modelling techniques are relatively unsuitable to these contexts. While spatially distributed and physically based models suffer difficulties due to the lack of data and the complexity of geological and hydrogeological conditions, black-box models are too simple to deal with the problems effectively. A new modelling method is proposed to simulate ground water environments in which water flows through mined (exploited) and unmined (unexploited) areas. Exploited zones are simulated using a group of mixing cells possibly interconnected by pipes. Unexploited zones are simultaneously simulated using classical finite elements. This combined approach allows explicit calculation of ground water flows around the mine and mean water levels in the exploited zones. Water exchanges between exploited zones and unexploited zones are simulated in the model using specifically defined internal boundary conditions. The method is tested on synthetic cases of increasing complexity, and first results from a real case study are presented.     

Highwall Stability due to Punch Mining at Opencut Coal Mines

Conventional highwall mining extracts coal with an auger machine or a continuous miner from exposed seams at the base of opencut or strip operations. However, under poor strata and high stress conditions, highwall mining cannot be conducted due to pillar and roof failures. In such cases, punch highwall mining is more effective than the conventional highwall mining. This paper describes conventional highwall mining and punch highwall mining systems and discusses the stability of the highwall due to punch highwall mining at opencut coal mines.     

Economic geology value of oil shale deposits: Ethiopia (Tigray) and Jordan

Oil shale is an organic-rich, fine-grained sedimentary rock, containing kerogen, from which liquid hydrocarbons (called shale oil) can be produced. The oil shale deposits in the Tigray region are found in the northern parts of Ethiopia, Eastern Africa. They are of Upper Paleozoic in age, existing as remnants of the Cretaceous erosion period, underlain by tillites and overlain by sandstones. They were formed during the glacial retreat followed by marine deposition of shales in a basin created by the enormous load of the glaciers. The Ethiopian-Tigray oil shale deposits cover an area extending over approximately 30 km², with an average mineable bed-thickness of 55 m, showing on the upper part inter-beds and laminations of shaley limestones. The oil shale resources in this region are estimated to be approximately 4 billion tonnes. The exploitation of the Ethiopian-Tigray oil shale deposits is an excellent alternative to fulfill the fuel and other petroleum products’ demand of Ethiopia. This study sheds light on the oil shale resources in the Ethiopian region of Tigray, as they are fairly investigated, regarding their geological characterization, and future strategies for their exploration and exploitation potential. In addition, the oil shale deposits in Jordan are also moderately investigated, as Jordan is considered a promising country for shale oil, taking into account that Jordan has no other hydrocarbon resources (such as crude oil and natural gas), unlike many other countries in the MENA (Middle East and North Africa) region, as MENA sets on “seas” of oil and natural gas. Furthermore, oil shale in the USA is also briefly investigated, as the USA is being the world’s largest country of oil shale resources and reserves. Also, some other issues related to the oil shale industry are investigated, such as economics, extraction technologies of shale oil, and the environmental impacts.     

一种基于关联规则的Web日志数据挖掘的实现方法

介绍一个基于关联规则数据挖掘Web日志分析的实现方法,提出通过对Apriori算法的改进,提高其挖掘效率,根据其结果,达到理解用户行为和改善Web结构的目的.     

粗糙集理论及其在数据挖掘中的应用

粗糙集理论是一种研究不完整、不确定知识处理的数学工具,近几年来已经在诸多领域得到应用,在机器学习、知识发现、算法研究、决策支持系统以及模式识别等应用中取得了较好的成果.本文在阐述粗糙集理论概念的基础上,介绍了粗糙集理论在数据挖掘中的两个应用.