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71.
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
72.
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
73.
本文根据雷公山背斜南段的几个锑矿床的勘查资料,结合1:5万区调和相应的科研成果,总结该区锑矿床的共同特征,并对其控矿条件进行分析,认为逆冲断层、剪切带控制锑矿田的分布,“褶皱 断层”控制锑矿床分布,单条剪切带及后期脆性断层控制锑矿体的产出。 相似文献
74.
75.
文章首次对蒙甘新相邻(北山)地区各类金、铜和铜—镍矿床(点)地质特征、成因类型和空间分布特点进行了系统总结,论证了金、铜和铜—镍成矿作用与古生代岩浆活动的关系,对区域地壳演化过程中金、铜和铜—镍成矿的动力学机制进行了深入讨论。研究结果表明,该区的金矿床(点)大体可划分为变质岩型、火山岩型、斑岩型和深成侵入岩型;铜矿床(点)有斑岩型、夕卡岩型和铜—镍硫化物型。金和铜矿床(点)大都沿古板块汇聚带分布,与海西期火成岩具密切的时空分布关系,它们是古板块对接碰撞期和碰撞期后大规模构造—岩浆活动的产物。 相似文献
76.
77.
我国钴矿矿产资源及其成矿作用 总被引:10,自引:0,他引:10
钴广泛应用于军事、钢铁、电器、机械等方面,它具有亲铁亲硫的双重性,在各类岩浆岩中的分布不均匀,由超基性岩向酸性岩,钴的含量迅速降低。我国钻矿资源呈现富矿少、贫矿多的特点,并且铬矿主要分布在甘肃、青海、新疆、吉林、陕西、云南、四川等地。按照矿床形成的成矿环境、矿床岩石组合,矿床类型划分为:与镁铁质-超镁铁质岩有关的硫化物钻矿、与海相火山喷发有关的钻多金属矿、与斑岩有关的铜钻矿、与砂岩有关的钻矿、与中酸性侵入岩有关的矽卡岩铁钻矿、与风化作用有关的钴矿等六类。 相似文献
78.
79.
新疆阿尔泰印支期伟晶岩的成矿年代学研究 总被引:10,自引:0,他引:10
阿尔泰的伟晶岩长期以来被认为是海西期造山过程的产物。为了查明伟晶岩矿床的成矿时代,本文通过对伟晶岩型稀有金属矿床中白云母的40Ar 39Ar法同位素定年研究,首次在阿尔泰中部的大喀拉苏大型稀有金属矿床和小喀拉苏稀有金属矿床获得了新的同位素年龄数据,其坪年龄分别为248.42±2.11Ma和233.79±0.41Ma,从而证实了印支期稀有金属成矿作用的存在,提出了伟晶岩型矿床形成于多个时代,且稀有金属成矿作用主要发生在海西期造山运动之后的看法。 相似文献
80.