| 工作面煤与瓦斯突出电磁辐射的神经网络预测方法研究 |
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| 引用本文： | 撒占友,何学秋,王恩元.工作面煤与瓦斯突出电磁辐射的神经网络预测方法研究[J].煤炭学报,2004,29(5):563-567. |
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| 作者姓名： | 撒占友 何学秋 王恩元 |
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| 作者单位： | 1. 青岛建筑工程学院,交通运输系,山东,青岛,266520
2. 中国矿业大学,能源科学与工程学院,江苏,徐州,221008 |
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| 基金项目： | 国家杰出青年基金资助项目(59925411)，国家自然科学基金资助项目(50134040，50204010) |
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| 摘 要： | 以自适应神经网络的基本原理为基础，系统研究了煤与瓦斯突出电磁辐射自适应神经网络预测的原理，将电磁辐射自适应神经网络模型应用于煤与瓦斯突出危险性预测，实现了煤与瓦斯突出危险性的电磁辐射动态趋势预测．应用结果表明，煤与瓦斯突出电磁辐射神经网络预测法具有预测方法简单、准确性高等特点，可应用于工作面煤与瓦斯突出危险性的预测．
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| 关 键 词： | 煤与瓦斯突出 电磁辐射 神经网络 预测 |
| 文章编号： | 0253-9993(2004)05-0563-05 |
| 修稿时间： | 2003年11月24 |
Study on the electromagnetic emission neural network forecasting method of coal and gas outburst of working face |
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| SA Zhan-you.Study on the electromagnetic emission neural network forecasting method of coal and gas outburst of working face[J].Journal of China Coal Society,2004,29(5):563-567. |
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| Authors: | SA Zhan-you |
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| Affiliation: | SA Zhan-you~ |
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| Abstract: | Based on basic principle of self-adapting neural network, studied a principle of electromagnetic emission (EME) self-adapting neural network forecasting coal and gas outburst, and applied the method to forecast the danger of coal and gas outburst. It realized an EME dynamic trend forecast of the danger of coal and gas outburst. The application results show that the EME neural network forecasting method of coal and gas outburst has many characteristics of simple forecasting method, high accuracy, and so on. It is feasible to be applied to forecast the danger of coal and gas outburst. |
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| Keywords: | coal and gas outburst electromagnetic emission (EME) neural network forecast |
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