| 硫化矿石自燃倾向性鉴定技术 |
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| 引用本文： | 胡文志,谢振华,赵军.硫化矿石自燃倾向性鉴定技术[J].金属矿山,2011,40(6):146-148. |
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| 作者姓名： | 胡文志 谢振华 赵军 |
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| 作者单位： | 1.北京科技大学土木与环境工程学院；2.中国安全生产科学研究院 |
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| 摘 要： | 以BP神经网络为基础，建立了硫化矿石自燃倾向性鉴定模型，模型选用硫化矿石的吸氧量、自热起始温度和比表面积为输入层单元，自燃倾向性等级为输出层单元。运用MATLAB软件对模型进行了实现，将模型应用到硫化矿石自燃倾向性的实际鉴定中，预测结果真实可靠。
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| 关 键 词： | BP神经网络 MATLAB 硫化矿石 自燃倾向性 |
Identification Technology about Spontaneous Combustion Tendency of Sulfide Ores |
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| Hu Wenzhi,Xie Zhenhua,Zhao Jun.Identification Technology about Spontaneous Combustion Tendency of Sulfide Ores[J].Metal Mine,2011,40(6):146-148. |
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| Authors: | Hu Wenzhi Xie Zhenhua Zhao Jun |
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| Affiliation: | 1.University of Science & Technology Beijing；2.China Academy of Safety Science and Technology; |
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| Abstract: | The identification model for spontaneous combustion tendency of sulfide ores was established based on BP neural network. This model selected the quantity of oxygen absorption, the self-heating starting temperature and specific surface area of the sulfide ores as the input layer units, and the level of spontaneous combustion tendency as the output layer. Then, it was realized by using MATLAB software, and then applied to the actual identification on the spontaneous combustion tendency of sulfide ores, with correct and reliable predicting results obtained. |
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| Keywords: | BP neural network MATLAB Sulfide ores Spontaneous combustion tendency |
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