Research on Strata Movement in Underground Metal Mines Based on the Artificial Neural Network
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摘要: 提出了采用人工神經網絡方法進行地下金屬礦山巖層移動預測,結合模糊數學對選取的地表移動影響因素進行了處理.計算結果表明,所選取的各因素之間及其與巖層的移動角之間存在著較強的非線性關系,移動角的大小與選取因素有著密切的聯系,進而從理論上證明可以預測由于開挖引起的巖層和地表移動的范圍問題.Abstract: A prediction method of strata movement in underground metal mines is put forward in which the artificial neural network is applied, and selected factors influencing strata movement are dealt with by the fuzzy ma-thematic method. The results show that there is a strong nonlinear linking between the factors and strata movement angle, and the numerical value of movement angle has much in connection with the factors. It is proved that the scope of strata and surface movement due to mining can be predicted in theory.
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Key words:
- artificial neural network /
- strata movement /
- subordinate degree
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