攀西地区独立银矿的成矿地质条件及找矿前景

四川攀西地区具有特定的地质条件，区域地球化学特征、有利的成矿环境和已发现的银矿床点，都证明区内具有很好的成矿地质条件，寻找大型独立银矿很有前景。主攻内生型和沉积变质型银矿床是今后工作的重点。     

Improved treatments for evaluating horizontal magnetic components through the 3-D FDM in E -polarization induction problems

To improve the accuracy of the numerical evaluation through the 3-D finite difference method, the surface boundary conditions are added to modify the old program. The author has tested the new program by making calculations for the model constructed by Wanamaker, et al (1984). The comparison between the numerical results obtained from this paper and those by Wannamaker, et al (1984) indicates that a pronounced improvement is realized in the evaluation of the horizontal magnetic components. Moreover, better calculations for the vertical magnetic components are also obtainable by using the new program.     

北京建设世界城市模式与政策导向的初步研究

结合世界城市同经济增长、科技创新以及区域基础这间的关系，世界城市结构演化及其成长过程等的一般规律，在内外部环境综合分析基础上，提出北京建设世界城市的基本经济模式与空间结构模式。加大开放程度，推进产业价值链分工，提高高级生产者服务以及高科技产业在经济结构中的比重，积极吸引跨国公司总部与研发机构，增强对全球经济资源的配置能力，为基本经济模式；而在首都圈与环渤海地区形成合理的空间分工，以及改北京单中心结构为近、远程多中心圈域型结构，为基础空间结构模式，并进一步提出了北京建设世界城市的六大政策导向。     

GIS支持下青海湖地区草地蝗虫发生的地形分析

草地蝗虫发生的地形分析是建立草地蝗虫发生预报模型的基础，以青海湖地区为实验区，在Arc/Info和ArcView地理信息系统的支持下，进行草地蝗虫发生与各地形变量（包括海拔高度、坡度与坡向）的叠置分析，提取草地蝗虫发生的地形信息数据库，然后，分别采用T－检验（对连续变量－海拔高度和坡度）和卡方（Chisquare)检验（对类变量－坡向类型）进行各地形变量对草地蝗虫发生的差异显著性检验，结果表明，海拔高度和坡度对草地蝗虫发生的影响极为显著（显著性水平p=0.000)，而坡向地草地蝗虫发生的影响不是特别明显（显著性水平p=0.039)。     

中国城市与城市发展理论的历史

论述中国自周期以来的城市概念和理论，指出中国城市性质和城市结构的自有特点及其与西方发展经验为基础的城市概念和理论不同，将中国漫长的演变历史分为封建时代，中华人民共和国建立至1978年和1978年以后的改革开放3个时期。3个时期所形成的城市概念和理论，都有中国特色，是中国城市及城市化向前发展的重要的理解和指导基础。     

长春市旅游产品开发研究

搞好长春市旅游产品的开发与设计对其旅游业的发展极为重要，长春市旅游资源类型多样，内容丰富，主要有生态旅游资源，电影文化旅游资源，产业旅游资源，殖民遗迹旅游资源，辽金文化旅游资源等五大资源优势。文章在分析这些资源优势的基础上，结合长春市国内外旅游客源市场的背景与现状，提出了旅游产品开发的具体思路，即在今后的开发中应突出地方特色。增强参与性，以七大旅游产品系列为依托，重点开发冰雪旅游，生态旅游，文化旅游和产业旅游。     

梅州市名城文化景观的保护与开发研究

从名城文化内涵出发，着眼于作为客家人文中心和名城文化景观的集中的梅州市区，全面分析了其中丰富多样的文化景观资源的特征及其文化内蕴。揭示了梅州名城文化景观保护与开发过程中的成绩与存在问题。并从文化地理学的视觉，结合旅游开发和城市规划，论证了科学保护与开发梅州名城文化景观的下述对策与途径的必要性与可行性：提升名城办的职能并与相关部门共营名城文化氛围；强化名城轴线与标志性文化景观；抢救与保护“老字号”等一批文化景观景区；适度利用，以积极的开发促其效的保护。     

边坡立体绿化工程的稳定性

山地城市有许多大面积锚杆喷浆硬化封闭的边坡与城市景观极不协调，为改变这些生硬，单调的自然坡体现状，政府要求对其进行立体绿化。本文以修建黄花园大桥石板坡立交工程形成的石板坡为例，通过多种方法研究了绿化荷载作用对边坡稳定性的影响，结论表明绿化荷载对边坡的稳定性影响较小，只要施工顺序得当可以保证安全。     

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.     

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.