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Artificial Neural Networks Applied to Mineral Potential Mapping--Case Studies for Iron Oxide Copper Gold (IOCG), Platinum Group Elements (PGE) and Oragenic-Gold Deposits in the Amazon, Brazil

机译：人工神经网络适用于矿物潜力测绘 - 氧化铁铜金（IoCG），铂族群元素（PGE）和亚马逊，巴西的奥拉尼克 - 金矿床的案例研究

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The Amazon Craton is one of the largest cratonic areas and comprises one of the best-endowed metallogenic provinces in the world. It hosts a number of different ore deposit types for which a variety of mineral exploration data are presently available at various scales and formats. These data, however, are not properly organised nor integrated by means of advanced spatial analysis tools. In this view, here we present a suite of neural network methods that were applied to these data, providing unprecedented mineral potential scenarios for several precious and base metals in the region.

机译：亚马逊克拉顿是最大的克拉顿地区之一，并包括世界上最好赋予的最佳的成矿省之一。它托管许多不同的矿床类型，各种矿物勘探数据目前在各种尺度和格式提供。然而，这些数据未通过先进的空间分析工具正确组织也不适当地组织。在这种观点中，我们展示了一套应用于这些数据的神经网络方法，为该地区的几个珍贵和基础金属提供了前所未有的矿物潜在情景。

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《Pacific Rim Congress》|2008年||共6页
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C R de Souza Filho; E P Leite; L A Magalhaes;
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Artificial Neural Networks Applied to Mineral Potential Mapping--Case Studies for Iron Oxide Copper Gold (IOCG), Platinum Group Elements (PGE) and Oragenic-Gold Deposits in the Amazon, Brazil

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