The copper grade estimation of porphyry deposits using machine learning algorithms and Henry gas solubility optimization
algorithm; copper; electrical conductivity; estimation method; machine learning; optimization; ore deposit; ore grade; porphyry; solubility; Iran; Kerman [Iran]
Saved in:
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
Springer Science and Business Media Deutschland GmbH
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!