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

The Amazon Craton is one of the largest cratonic areas and comprises one of the est-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. An EXTENDED ABSTRACT is available for download. A full-length paper was not prepared for this presentation.