Prediction of the Equivalent Radon Exhalation Rate of Uranium Ore-rock in the Course of Mine Ventilation Based on GA-SVM
Prediction of the Equivalent Radon Exhalation Rate of Uranium Ore-rock in the Course of Mine Ventilation Based on GA-SVM
复制标题
基于GA-SVM的矿井通风过程中铀矿岩等效氡析出率预测
DOI：
10.14355/ijnese.2013.0304.04
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发表时间：
2013-12
期刊：
影响因子：
--
通讯作者：
Nanbin Fan
中科院分区：
文献类型：
--
作者：
Yongjun Ye;Yali Zhao;Dexin Ding;Liheng Wang;Nanbin Fan
矿井通风过程中铀矿岩的放氡过程是一个复杂的、动态的、非线性的过程。氡释放量的计算依据是当量氡释放量，这有助于合理确定铀矿通风风量，避免不必要的成本。实际上，铀矿通风过程中的当量氡释放率并不是一个常数，而是一个受通风量、风压等因素影响的变量。本文以相应风压下的通风量为输入向量，以当量氡释放量为输出向量，建立了矿井通风过程中铀矿岩当量氡释放量的GA-SVM预测模型。结果表明，利用GA-SVM模型预测矿井通风过程中铀矿岩的氡当量释放率是合理可行的。
The process of radon exhalation of uranium ore-rock in the course of mine ventilation is complicated, dynamic and nonlinear. The calculation basis of radon exhalation is the equivalent radon exhalation rate, which contributes to reasonably determining the ventilation air quantity in uranium mines, avoiding unnecessary cost. In fact, the equivalent radon exhalation rate is not a constant in the course of uranium mine ventilation, but a variable influenced by ventilation rate, wind pressure and other factors. In this paper, taking the ventilation rate with the corresponding wind pressure as the input vector and the equivalent radon exhalation rate as the output vector, the paper established a GA-SVM prediction model of the equivalent radon exhalation rate of uranium ore-rock during mine ventilation. Results show that it is reasonable and viable to utilize the GA-SVM model to forecast the equivalent radon exhalation rate of uranium ore-rock during mine ventilation.
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影响因子：
2
作者：
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通讯作者：
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影响因子：
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作者：
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影响因子：
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作者：
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通讯作者：
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DOI：
10.1109/cise.2009.5366769
发表时间：
2009-12
期刊：
2009 International Conference on Computational Intelligence and Software Engineering
影响因子：
--
作者：
Y. Ye;D. Ding;Xiangyang Li;Xinhuo Zhou;Yangtong Tan
通讯作者：
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