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Machine Learning for Heap Leach Forecasting by mariana kroll is a document available to read on EtoBox.

What is Machine Learning for Heap Leach Forecasting about?

The presentation discusses the transition from a spreadsheet-based simulator to a machine learning model for heap leach forecasting, addressing the complexities of predicting outcomes in leaching operations. It highlights the use of a centralized SQLite database and a hybrid model that simulates distinct kinetic zones and recovery processes, optimizing parameters through iterative cycles. The simulator enhances predictive accuracy, quantifies uncertainty, and provides actionable insights for strategic plann

Author

mariana kroll

Language

EN