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.     

企业网络发育程度与区域创新能力研究

本文从分析企业网络的发育和完善程度出发，探讨影响网络创新能力的因素。文章指出，网络发育程度与创新能力(创新数量、创新发生的频率)是正相关的。从宏观上讲网络越密集、各种正式和非正式联系越有效、网络联系越稳定、网络自我更新能力越强、网络的开放性越强、网络越能根植于当地的良好的区域环境，越容易激发创新；从微观上讲，网络中行为主体的学习能力越强，其创新发生频率越高，创新能力越强。     

Microbial production of CO2 in red soil in Stone Forest National Park

Lunan stone forest is a kind of typical karst in China, which is mainly developed under red soil. In the winter of 1999, three study sites were chosen in stone forest national park according to vegetation cover, geomorphologic location and soil types. CO2 concentration was measured with Gastec pump at different depths of soil (20, 40, 60 cm) and at the same time soil samples were gathered and soil properties such as soil moisture, pH, soil organic content were analyzed and the total number of viable microbes were counted in laboratory. In the study, dependent variable was chosen as the mean soil log (PCO2), and soil properties were chosen as the independent variables. Multiple stepwise regression analysis showed that the total amount of microbes and soil moisture are the best indicators of the CO2 production, with the equation LOG(PCO2) = - 0.039(TNM) - 0.056(Mo) + 1.215 accounting for 86% of the variation of the soil CO2 concentration, where TNM is the total number of microbes in the soil and Mo is the moisture of soil sample.     

不同浓度Li2SO4水溶液结构的X射线衍射研究

用θ～ 2θ型粉末衍射仪反射法精确测量了不同浓度的Li2 SO4水溶液的衍射数据 ,通过数据处理给出了溶液的结构函数和径向分布函数 ,由几何结构模型的最小二乘法精修 ,得到了溶液中阳离子和阴离子第一、二水合层的结构参数。     

光催化氧化法处理难降解废水的研究进展

综述了光催化氧化处理难降解废水的研究现状及发展趋势。介绍了影响光催化氧化反应速率的因素及光催化氧化法在处理难降解废水中的应用。     

堆浸生产黄金浸出周期浅析

云南富源胜境关金矿开发生产初期，运用堆浸理论，根据矿山工业场地实际和矿石的物理化学性质，及矿石中的有害杂质(组织)的含量，多次试验、调整技术参数(堆浸场地物理性质、矿石粒度、矿堆高度、矿堆渗透性、氰化物浓度、浸出液碱性、浸出温度、喷淋强度、吸附流速或流量等)，完善浸出工艺，缩短浸出周期，提高浸出率，取得了良好的经济效益。     

陕北新庄地区延长组长2油层组储层特征

一般河道砂体的正粒序性决定了其下部物性条件优于上部，但新庄地区长2油层组河道砂体的物性特征截然相反，而是中上部物性条件好，下部物性条件普遍差。在储层岩石学特征、孔隙类型等研究的基础上，对此进行了探讨，认为造成其特殊性的原因主要是由于压实、胶结、次生加大等作用。指出河道边滩砂体中上部储层为该区的主力储层。     

利用高铁钾长石粉合成13X沸石分子筛的实验研究

对江苏丰县的富钾页岩进行预处理，得到钾长石含量达76．4％的钾长石粉，其Fe2O3含量高达7．52％。以此钾长石粉为原料经过焙烧处理、水热合成实验，在铁含量较高情况下成功合成了13X沸石分子筛，并采用正交实验法确定了优化工艺参数。对实验产物的主要性能测试表明，合成的富铁沸石产品与13X沸石分子筛工业产品相似，吸附量达到国家化学工业产品标准，可用于对含重金属离子废水的吸附处理。     

隧洞岩溶发育段灌浆检测实例

对于充填物为松散介质的溶洞灌浆检测,孔内声波法由于其能量限制效果较差,而孔内地震法能弥补其不足并在检测中发挥较好作用。本文以万家寨引黄入晋工程6#隧洞岩溶发育段灌浆检测为例,介绍了该方法的应用效果。     

处理DEM中闭合洼地和平坦区域的一种新方法

数字高程模型(DEM)中的闭合洼地和平坦区域影响着流域排水网络的自动提取.目前已提出很多方法来处理这两种地形,但均针对已经形成的DEM单元网格进行处理,结果往往生成伪河道及平行河道.在回顾分析了这些方法存在的问题后,提出了一种新的处理方法,该法认为DEM中的闭合洼地和平坦区域是由于低质量的资料输入、生成DEM时的内插误差等引起的.通过增加输入地形高程信息,避免了DEM中平坦区域和闭合洼地的生成,从而使由DEM生成的河网与实际河网能够精确拟合.实例分析表明,该方法效果明显.