| 基于BP神经网络的综放工作面回采率预测分析 |
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| 引用本文： | 陈立伟,裴蓓.基于BP神经网络的综放工作面回采率预测分析[J].煤炭工程,2010(2). |
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| 作者姓名： | 陈立伟 裴蓓 |
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| 作者单位： | 河南理工大学,安全科学与工程学院,河南,焦作,454003 |
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| 摘 要： | 综放工作面为复杂的非线性系统,设备与放煤工艺参数的选择及工作面回采率的预测是复杂的非线性问题,用传统的数学方法难于解决。应用MATLAB神经网络方法建立了综放工作面采出率的预测模型,并实现了采煤机、液压支架选型和放煤方式、放煤步距的优化。应用结果表明,神经网络模型具有非线性动态处理能力,能真实反映各因素之间的非线性关系,计算精度高,具有较强的实用性。
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| 关 键 词： | 综放工作面 回采率 神经网络 |
Analysis on mining recovery rate detection of fully mechanized top coal caving mining face base on BP neural network |
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| CHEN Li-wei,PEI Bei.Analysis on mining recovery rate detection of fully mechanized top coal caving mining face base on BP neural network[J].Coal Engineering,2010(2). |
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| Authors: | CHEN Li-wei PEI Bei |
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| Affiliation: | School of Safety Science and Engineering/a>;Henan Polytechnic University/a>;Jiaozuo 454003/a>;China |
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| Abstract: | The fully mechanized top coal caving mining face is a complicated and nonlinear system.The selection of the equipment and top coal caving parameters as well as the prediction of the mining recovery rate for the coal mining face would be a complicated nonlinear problem and could be difficultly solved with the conventional mathematical method.The MATLAB neural network method was applied to establish a prediction mode of the mining recovery rate fro the fully mechanized top coal caving mining face.The mode cou... |
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| Keywords: | fully mechanized top coal caving mining face mining recovery rate neural network |
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