南水北调中线工程建设与河南水资源可持续利用

文章通过对河南省水资源开发利用现状，存在的主要问题，水资源供需平衡以及南水北调工程对河南省水资源利用的影响论述，提出了在拟定南水北调工程供水方案中，应通过强化节水，加强水资源保护，严格控制地下水开采，将水资源作为商品等措施，促进河南省水资源的可持续开发利用。     

河南经济技术开发区发展前景与对策

文章阐述了经济技术开发区在区域经济发展过程中的作用。根据河南省经济技术开发区的发展现状和存在的问题，分析了加入WTO后开发区所面临的机遇和挑战，并在此基础上从开发区环境营造，运行机制，筹资方式，产业发展，城市建设等方面提出了加快河南省经济技术开发区发展的对策。     

冰碛土工程性能的研究

本文以川西某机场为例,研究了冰碛土的工程性能,研究成果满足了工程设计的要求,对同类地基研究具有 重要的参考意义。     

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.     

山东省省际边界地区发展研究

省际边界地区有其自身的发展特点，对于区域的发展起着特殊的作用。文章分析了山东省省际边界地区的特点，并根据康维斯（P.D.Converse)断裂点理论，对山东省及周边中心城市的引力范围进行了计算，比较分析了目前山东省省界城市和省内城市吸引范围及竞争力差异，提出了山东省发展省际边界地区的相应对策。     

基于卫星遥感的鲁西北季节性风沙化土地研究

文章对鲁西北地区季节性风沙化土地的分布、特征及近20年来的演变做了初步的分析，阐述了该地区风沙化土地的成因及其危害，在肯定已有治沙成绩的基础上，就如何合理利用和改造这些土地提出了合理布局农田林网、地一步完善农田水利设施等意见和建议。     

浙江原发性产业集群的形成机制与持续发展

原发性产业集群是浙江省产业发展的主要模式，是在开放的环境中自发形成的。独特的区域“文化基因”，产业特定性知识，产业氛围与地方政府的促进作用是原发性产业集群形成的主要因素；小企业大群落，区内企业的分工协作与竞争，产品的多样化与差别化及集体学习是其主要特点；生产要素的培育和创造，区域品牌树立，学习型企业群落创建及特色制造业基地的培育是产业集群区持续发展的主要措施。     

六枝煤矿区构造体系初步分析

六枝煤矿区属于威宁—郎岱褶皱束的一部分，NW向构造占据主要地位。地史上该区有多次升降运动，二叠纪的东吴运动，伴随基性岩浆活动；侏罗、白垩纪的燕山运动，使本区发生大规模的褶皱和断裂；喜马拉雅运动的影响使本区构造复杂化。形成NE向扭性断层；构造复合的基本方式是横跨和限制。构造分析表明，NE向构造形成较早，NW向构造形成较晚。     

蚕庄金矿上庄矿区控矿构造特征及构造模拟

上庄矿区的主要控矿断裂具有多期活动的特点，主断裂、次级断裂及节理的多种组合方式控制了矿体的产出。运用断裂面波形模拟方法得出了控矿主断裂在成矿期的断裂面波形图，并以此对上庄矿区的深部矿体进行了预测。