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]
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| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
Springer Science and Business Media Deutschland GmbH
2023
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| Institution: | Universiti Tenaga Nasional |