HIGHLIGHTS
- who: tim from the PQJ X E Canada have published the paper: Neural network stochastic simulation applied for quantifying uncertainties, in the Journal: (JOURNAL)
- what: The authors propose a simulation of properties based on supervised Neural network training at the existing drilling data set. This approach has been successfully tested for predicting the metal content of ore deposits . Discussion AND Conclusions This work proposes to use a stochastic simulation method based on training neural_networks.
- how: The authors used a multi-layer perceptron (MLP) architecture with a feed-forward approach that is well adapted . . .
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