| 基于模糊神经网络的煤与瓦斯突出区域预测研究 |
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| 引用本文： | 吴财芳,曾勇,张子戌,袁崇孚.基于模糊神经网络的煤与瓦斯突出区域预测研究[J].煤田地质与勘探,2002,30(6):4-8. |
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| 作者姓名： | 吴财芳 曾勇 张子戌 袁崇孚 |
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| 作者单位： | 1. 中国矿业大学资源学院,江苏,徐州,221008
2. 焦作工学院资源与环境工程系,河南,焦作,454000 |
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| 摘 要： | 煤与瓦斯突出影响因素间复杂的非线性关系 ,难以用经典的数学理论建立精确的预测模型。本文用自适应模糊神经网络技术建立煤与瓦斯突出预测系统 ,以模糊数学作为表达与处理不精确数据、模糊信息条件的手段 ,以自适应BP神经网络作为解决问题的途径。结果表明 :方法可行 ,预测精度高 ,能够满足要求 ,进一步充实了煤与瓦斯突出区域预测理论
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| 关 键 词： | 模糊数学 神经网络 模糊神经网络 煤与瓦斯突出 预测 |
| 文章编号： | 1001-1986(2002)06-0004-04 |
| 修稿时间： | 2002年6月25日 |
The fuzzy-neural networks and theory of forecasting the coal-gas-outburst |
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| WU Cai-fang ,ZENG Yong ,ZHANG Zi-xu ,YUAN Chong-fu.The fuzzy-neural networks and theory of forecasting the coal-gas-outburst[J].Coal Geology & Exploration,2002,30(6):4-8. |
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| Authors: | WU Cai-fang ZENG Yong ZHANG Zi-xu YUAN Chong-fu |
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| Institution: | WU Cai-fang 1,ZENG Yong 1,ZHANG Zi-xu 2,YUAN Chong-fu 2 |
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| Abstract: | Because the complicated non-linear relation between the coal-gas-outburst and its affecting factors,it is difficult to established model with traditional mathematical method.The authors set up the forecasting system with fuzzy-neural network theory,by means of fuzzy mathematics to express and deal with the imprecise data and fuzzy information,and utilized self-adaptive neural networks system to solve the problems.The results of actual application indicate that the model is reliable and precise and has large practical value,which enriches the theory of forecasting coal-gas-outburst. |
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| Keywords: | fuzzy mathematics neural-networks fuzzy-neural networks coal-gas-outburst forecast |
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