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991.
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. 相似文献
992.
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. 相似文献
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峪耳崖金矿的成矿时代裂变径迹研究 总被引:5,自引:0,他引:5
通过峪耳崖金矿含矿岩体中的锆石、磷灰石裂变径迹分析,揭示了自中生代燕山期以来峪耳崖地区经历了频繁、多期次的热液活动,且与峪耳崖金矿的形成密切相关。锆石、磷灰石的裂变径迹年龄显示,金矿成矿时代主要为115~200Ma,成矿下限为82Ma。其中,115~190Ma是主要的成矿时期。成矿流体作用遍及整个岩体;流体的运移受到构造制约,具有NE—SW延伸的趋势;成矿流体具深部来源以及在地表水的参与下成矿。峪耳崖金矿的形成,与当时整个中国东部的动力学背景有关。 相似文献
995.
从成矿和变形时代的不耦合现象探讨康古尔金矿的成因 总被引:5,自引:0,他引:5
位于塔里木盆地北缘的康古尔金矿出露于秋格明塔什-黄山巨型韧性剪切带中部,长期以来被当作剪切带型金矿加以研究。通过初步的同位素年代学研究却发现了成矿和变形时代的不耦合现象:康古尔金矿成矿时代在290Ma左右,而秋格明塔什-黄山韧性翦切带剪切变形时代在225~236Ma。如果认定康古尔金矿成矿作用发生在海西期,则发生于印支中-晚期的韧性剪切变形作用不仅不是康古尔金矿成矿作用的主因,而且对金矿的改造作用也是有限的。因此,康古尔金矿不能被称为剪切带型金矿。 相似文献
996.
东坑金矿产于震旦系云开群中亚群,北东向吴川—四会大断裂是区内的重要控矿构造,大田顶弧形构造控制了矿床、矿点的分布,北西向韧性剪切带使金矿脉群定位;岩浆岩为成矿提供硫源外,还提供了热源和部分金质;金矿赋存于近接触带的绿片岩中,接触带为矿脉群的聚集、充填提供了空间。 相似文献
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峪金矿床是小秦岭金矿带内一大型金矿床,属韧—脆性叠加剪切带石英脉型金矿,构造是其首要控矿因素。早期韧性剪切带只对矿脉起宏观控制作用。晚期的脆性断裂为含金石英脉的直接控矿构造。成矿期脆性断裂的多次继承性活动分别控制了热液期4个成矿阶段。脆性断裂形成的空间形态对矿体形态产状具控制作用。有利的矿化富集部位为:①显示压扭性质的近东西向断裂沿走向产状变化处,沿倾向由陡变缓处,断裂面的凹凸转变处;②断裂分支复合部位;③成矿期断裂多次脉动的启张部位;④成矿期断裂构造继承性活动强的部位等。在构造控矿研究的基础上,结合前人部分研究成果。构建了该矿床构造控矿模式。 相似文献