An Artificial Intelligence based Model for Optimal Exploratory Surveys

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Bol exploratory surveys (geochemical and geophysical) are important and basic steps in the mineral exploration; The importance of this stage includes several reasons that are intertwined; First, the precision and accuracy of the measured data compared to the investigated community, whether they are representative of it or not, and can the data be used as representative of the community in future studies? Second, the density of exploratory surveys that is directly related to management resources (Time, cost, human and equipment); Third, the exact location of the exploration, which must be purposefully selected, so that optimal results can be obtained by spending the least amount of resources.

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exploratory surveys (geochemical and geophysical) are important and basic steps in the mineral exploration; The importance of this stage includes several reasons that are intertwined; First, the precision and accuracy of the measured data compared to the investigated community, whether they are representative of it or not, and can the data be used as representative of the community in future studies? Second, the density of exploratory surveys that is directly related to management resources (Time, cost, human and equipment); Third, the exact location of the exploration, which must be purposefully selected, so that optimal results can be obtained by spending the least amount of resources.


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