Application of BP-ANN in Forecasting the Equivalent Radon Exhalation Rate of Uranium Ore-Rock in the Course of Mine Ventilation
Application of BP-ANN in Forecasting the Equivalent Radon Exhalation Rate of Uranium Ore-Rock in the Course of Mine Ventilation
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DOI：
10.1109/cise.2009.5366769
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发表时间：
2009-12
期刊：
影响因子：
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通讯作者：
Y. Ye;D. Ding;Xiangyang Li;Xinhuo Zhou;Yangtong Tan
中科院分区：
文献类型：
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作者：
Y. Ye;D. Ding;Xiangyang Li;Xinhuo Zhou;Yangtong Tan
矿井通风过程中铀矿岩的放氡过程是一个复杂的非线性动力系统。鉴于BP-ANN处理复杂非线性函数的能力，以通风量和风压为BP-ANN预测模型的输入向量，以当量氡释放量为输入向量，建立了基于BP-ANN的矿井通风过程中铀矿岩当量氡释放量预测模型。将预测结果与非线性回归预测模型进行了比较，结果表明BP- ANN预测模型具有较高的预测精度。用该方法预测铀矿岩的当量氡析出率是可行的。
The process of radon exhalation of uranium ore-rock in the course of mine ventilation is a complex nonlinear dynamic system. In view of the ability of BP-ANN in dealing with the complex nonlinear function, taking the ventilation air quantity and wind pressure as the input vectors of the BP-ANN forecasting model, and the equivalent radon exhalation rate as the input vector, the paper established a predicting model of the equivalent radon exhalation rate of uranium ore-rock in the course of mine ventilation based on BP-ANN. The forecasting results are compared with that of the nonlinear regressive forecasting mode, which shows that the forecasting model of BP- ANN has higher predicting precission. It is feasible to forecast the equivalent radon exhalation rate of uranium ore-rock by the method.