| 基于BP神经网络煤与瓦斯突出强度预测模型 |
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| 引用本文： | 宁齐元,刘祖德,游曦鸣,赵云胜. 基于BP神经网络煤与瓦斯突出强度预测模型[J]. 煤矿开采, 2011, 0(6) |
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| 作者姓名： | 宁齐元 刘祖德 游曦鸣 赵云胜 |
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| 作者单位： | 中国地质大学工程学院;湖南理工职业技术学院; |
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| 摘 要： | 在分析湖南土朱矿5煤层煤与瓦斯突出资料的基础上,确定煤层瓦斯含量,瓦斯压力,煤的坚固性系数及瓦斯放散初速度为影响煤与瓦斯突出的主要因素,利用MATLAB软件,基于BP神经网络,建立了适合土朱矿的煤与瓦斯突出强度预测模型,并进行了实际检验,确定了模型的可行性,为指导土朱矿的安全生产提供了理论依据。
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| 关 键 词： | BP神经网络 煤与瓦斯突出强度 预测模型 |
Prediction Model of Coal and Methane Bursting Intensity Based on BP Neural Network |
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| NING Qi-yuan,,LIU Zu-de,YOU Xi-ming,ZHAO Yun-sheng. Prediction Model of Coal and Methane Bursting Intensity Based on BP Neural Network[J]. Coal Mining Technology, 2011, 0(6) |
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| Authors: | NING Qi-yuan LIU Zu-de YOU Xi-ming ZHAO Yun-sheng |
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| Affiliation: | NING Qi-yuan1,2,LIU Zu-de1,YOU Xi-ming1,ZHAO Yun-sheng1(1.Engineering School,China Geology University,Wuhan 221116,China,2.Hunan Polytechnic Vocation Technology Institute,Xiangtan 411104,China) |
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| Abstract: | On the basis of analyzing coal and methane bursting information of 5th coal-seam in Tuzhu Colliery,this paper believed that methane content of coal-seam,methane pressure,coal sturdiness coefficient and methane radiation velocity were main factors influencing coal and methane bursting.Appling MATLAB software,it set up prediction model of coal and methane bursting which fit for Tuzhu Colliery and its feasibility was verified.This provided theoretical reference for safe mining of Tuzhu Colliery. |
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| Keywords: | BP neural network coal and methane bursting intensity prediction model |
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