Use of Noise to Augment Training Data: A Neural Network Method of Mineral–Potential Mapping in Regions of Limited Known Deposit Examples

One of the main factors that affects the performance of MLP neural networks trained using the backpropagation algorithm in mineral-potential mapping isthe paucity of deposit relative to barren training patterns. To overcome this problem, random noise is added to the original training patterns in order to create additional synthetic deposit training data. Experiments on the effect of the number of deposits available for training in the Kalgoorlie Terrane orogenic gold province show that both the classification performance of a trained network and the quality of the resultant prospectivity map increasesignificantly with increased numbers of deposit patterns. Experiments are conducted to determine the optimum amount of noise using both uniform and normally distributed random noise. Through the addition of noise to the original deposit training data, the number of deposit training patterns is increased from approximately 50 to 1000. The percentage of correct classifications significantly improves for the independent test set as well as for deposit patterns in the test set. For example, using ±40% uniform random noise, the test-set classification performance increases from 67.9% and 68.0% to 72.8% and 77.1% (for test-set overall and test-set deposit patterns, respectively). Indices for the quality of the resultant prospectivity map, (i.e. D/A, D × (D/A), where D is the percentage of deposits and A is the percentage of the total area for the highest prospectivity map-class, and area under an ROC curve) also increase from 8.2, 105, 0.79 to 17.9, 226, 0.87, respectively. Increasing the size of the training-stop data set results in a further increase in classification performance to 73.5%, 77.4%, 14.7, 296, 0.87 for test-set overall and test-set deposit patterns, D/A, D × (D/A), and area under the ROC curve, respectively.     

Economic Filters Applied to Quantitative Mineral Resource Simulations

The U.S. Geological Survey has developed a technique that allows mineral resource experts to apply economic filters to estimates of undiscovered mineral resources. This technique builds on previous work that developed quantitative methods for mineral resource assessments. A Monte-Carlo calculation uses mineral deposit models to estimate commodity grades and tonnages of undiscovered deposits. The results then are analyzed using simple estimates of capital expenditures and daily operating costs for a mine and associated mill. The daily operating costs and the value of the ore are used to calculate the net present value of the deposit, which is compared to the capital expenditures to determine whether the deposit is economic. Repetition of these calculations for many deposits produces a table that can be interpreted in terms of the probability of there being deposits that have anet present value exceeding some specified amount. Sample calculations indicate that applying economic filters to simulated mineral resources might change the perception of the results compared to presenting the calculations in terms of the expected mean gross-in-place value of the minerals.     

Use of Fuzzy Membership Input Layers to Combine Subjective Geological Knowledge and Empirical Data in a Neural Network Method for Mineral-Potential Mapping

Use of GIS layers, in which the cell values represent fuzzy membership variables, is an effective method of combining subjective geological knowledge with empirical data in a neural network approach to mineral-prospectivity mapping. In this study, multilayer perceptron (MLP), neural networks are used to combine up to 17 regional exploration variables to predict the potential for orogenic gold deposits in the form of prospectivity maps in the Archean Kalgoorlie Terrane of Western Australia. Two types of fuzzy membership layers are used. In the first type of layer, the statistical relationships between known gold deposits and variables in the GIS thematic layer are used to determine fuzzy membership values. For example, GIS layers depicting solid geology and rock-type combinations of categorical data at the nearest lithological boundary for each cell are converted to fuzzy membership layers representing favorable lithologies and favorable lithological boundaries, respectively. This type of fuzzy-membership input is a useful alternative to the 1-of-N coding used for categorical inputs, particularly if there are a large number of classes. Rheological contrast at lithological boundaries is modeled using a second type of fuzzy membership layer, in which the assignment of fuzzy membership value, although based on geological field data, is subjective. The methods used here could be applied to a large range of subjective data (e.g., favorability of tectonic environment, host stratigraphy, or reactivation along major faults) currently used in regional exploration programs, but which normally would not be included as inputs in an empirical neural network approach.     

Managed relocation: an assessment of its feasibility as a coastal management option

Managed relocation is explained and examined as an option to add to the usual categories considered in relation to managing coastal erosion. The paper considers the relocation of buildings in one unit, as opposed to demolition and re-construction. The standard coastal erosion management options are briefly noted and how managed relocation can fit into these options is explained. This paper focuses on four case studies. Two examples are from the USA and two from the UK; of these, two (one in each of the UK and USA) took place during the nineteenth century. Managed relocation is proposed as being feasible in particular cases, particularly where there are isolated historic or high value buildings.     

设备树在路灯AM/FM/GIS系统中的应用研究

该文提出了AM／FM／GIS中基于“设备树”的设备设施管理模式，运用“设备树”来组织路灯电力网络中的设备设施对象；阐述了如何从设备设施的物理模型抽象出具有树状层次结构的逻辑网络模型，并根据该逻辑模型设计相应的数据结构来构建“设备树”；并介绍了设备树在南京市路灯AM／FM／GIS系统中的设计与实现。     

"温州模式"新思考

诞生于20世纪80年代初的“温州模式”已日渐显示出它的限制性。在对“温州模式”问题分析的基础上。作者认为“温州模式”在新时期必须要赋予新的内涵，要更新观念，要从生产、管理、销售模式等方面创新。     

衡阳市生态环境现状及其改善对策

资源的不合理开发利用导致衡阳生态环境严重恶化。加强生态环境保护与建设对衡阳乃至湖南的可持续发展具有重要的意义。在分析衡阳市资源开发存在问题及其主要原因的基础上j探讨了在资源开发中建立可持续发展的良性生态环境的途径和措施，指出了要发展生态产业、开展生态环境的保护和建设，必须大力实施生态农业、生态林业、生态能源、生态旅游等生态经济工程，从而为衡阳市经济建设莫定坚实的生态可持续发展基础。     

遵义市城区及周边地带制砖页(泥)岩地质特征和开发前景

文章对遵义市城区及周边地带各地质时代的页（泥）岩已有资料进行了系统收集、归纳和适当的野外调研，认为区内制砖页（泥）岩层位可分为三类，第一、二类利用价值小或仅有部分可以利用，第三类则易于露采，大部分可利用，其层位为下奥陶统湄潭组和下三叠统夜郎组九级滩段，是区内可作制砖页（泥）岩利用最有开发前景的层位。同时对页（泥）岩的形成沉积环境作了简要分析，对其资源量进行了概略估算，经优化筛选，提出了10个供制砖厂企设置布局和矿源地选择之前需进行地质勘查的区块。     

资源性(矿产)资产的市场运作与贵州经济发展

该文以产权理论、价值理论为基础，阐述了资源性资产市场化运作的条件、方式和必要性、现实性，提出了建设和完善贵州资源性资产市场的相关政策建议。     

加强资金管理促进地勘经济发展

资金结构的不合理使一些地勘单位的发展步履维艰。增加财务杠杆利益,优化资本结构,保持良好的财务状况,发挥资金的有效利用率,才能实现资金的最大利润率,使地勘单位适应市场经济环境,提高其经济实力。