| 基于ANN的煤岩破坏电磁辐射预测研究 |
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| 引用本文： | 胡敬朋,杨公训.基于ANN的煤岩破坏电磁辐射预测研究[J].金属矿山,2009,39(9):140-142. |
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| 作者姓名： | 胡敬朋 杨公训 |
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| 作者单位： | 中国矿业大学（北京） |
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| 摘 要： | 以自适应神经网络的基本原理和实现步骤为基础，研究了煤岩变形破裂过程电磁辐射自适应神经网络预测的原理及特点，将电磁辐射自适应神经网络模型应用于煤岩变形破裂过程声发射和电磁辐射序列的预测。研究结果表明，采用神经网络可以有效预测电磁辐射和声发射信号，为判定煤岩变形破裂状态提供依据。
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| 关 键 词： | 人工神经网络(ANN) 煤岩破坏 电磁辐射 预测 |
Prediction of the Electromagnetic Radiation in Coal and Rock Failure Based on ANN |
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| Hu Jingpeng,Yang Gongxun.Prediction of the Electromagnetic Radiation in Coal and Rock Failure Based on ANN[J].Metal Mine,2009,39(9):140-142. |
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| Authors: | Hu Jingpeng Yang Gongxun |
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| Affiliation: | China University of Mining and Technology（Beijing) |
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| Abstract: | Based on the basic principles and implementation steps of adaptive neural network（ANN),the theory and characteristics of ANN prediction of electromagnetic radiation in the process of coal and rock deformation and fracture are studied.The ANN electromagnetic radiation model is applied to predict the acoustic emission and electromagnetic radiation sequence in the process of coal and rock deformation and fracture.The results show that ANN can be used to effectively predict the electromagnetic radiation and acoustic emission signals so as to provide reliable data for judging the state of coal and rock failure. |
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| Keywords: | Artificial neural network（ANN) Coal and rock failure Electromagnetic radiation Prediction |
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