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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