Research Article
[Retracted] Geological Mineral Energy and Classification Based on Machine Learning
Table 2
Quantitative prediction model of copper mine.
| | Types of ore deposits | Ore-controlling factors | Element type | Characteristics of the variable | The eigenvalue |
| Volcanic sedimentary metamorphism Type E copper (iron) ore | Formation | Ore formation | A natural dam group | A natural dam group | | The new bridge group | The new bridge group | | Fall dang group | Fall dang group | | Structure | Ore-controlling fracture | Basement faults | The fracture | | Fracture zone | Rupture zone | The 100 MB buffer | | Tectonic site | Azimuth anomaly | (0, 0.1) | | Structural isodensity | (1.045, 1.492) | | Degree of central symmetry | (0.001, 0.210) | | Structural frequency | (0, 1.375) | | Rock mass | Favorable ore-forming rock | Gabbro | Gabbro | | Rock contact zone | Rock buffer zone | Buffer 50 m | | Favorable rock characteristics | Rock mass differentiation | (0.07, 3.04) | | Geophysical | Abnormal apparent resistivity | CSAMT abnormal | Low resistivity abnormal body | | CSAMT exception buffer | Buffer 50 m |
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