| 基于ANN的煤层顶板导水断裂带高度预测 |
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| 引用本文： | 马亚杰,李建民,郭立稳,宋恩春. 基于ANN的煤层顶板导水断裂带高度预测[J]. 煤炭学报, 2007, 32(9): 926-929 |
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| 作者姓名： | 马亚杰 李建民 郭立稳 宋恩春 |
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| 作者单位： | 1河北理工大学 资源与环境工程学院，河北 唐山，0630093中国矿业大学(北京) 资源与安全工程学院，北京，100083 |
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| 摘 要： | 为预测煤矿顶板导水断裂带的最大高度，分析了顶板导水断裂带发育的影响因素，提取了10个指标形成裂高预测指标体系，并收集整理了近10 a来我国24项裂高观测数据，建立了样本数据库.基于BP人工神经网络的理论及方法，建立了煤层开采工作面顶板导水断裂带高度预测模型，模型检验成功.依据计算权值，分析了各指标对裂高的影响程度，提出工作面倾斜长度、埋深对裂高影响较大并加以解释.
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| 关 键 词： | 人工神经网络 导水断裂带高度 预测 |
| 文章编号： | 0253-9993（2007）09-0926-04 |
| 收稿时间： | 2007-07-01 |
| 修稿时间： | 2007-07-01 |
Height prediction of water fractured zone based on ANN |
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| MA Ya-jie,LI Jian-min,GUO Li-wen,SONG En-chun. Height prediction of water fractured zone based on ANN[J]. Journal of China Coal Society, 2007, 32(9): 926-929 |
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| Authors: | MA Ya-jie LI Jian-min GUO Li-wen SONG En-chun |
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| Affiliation: | 1. School of Resources and Environment Engineering, Hebei Polytechnic University, Tangshan 063009, China; 2. Kailuan (Group;Beijing |
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| Abstract: | To predict the height of water fractured zone,one system of 10 indexes was composed after analyzing on effecting factors,and a sample data was achieved by collecting and reorganizing 24 observation examples.Based on the theoretic and way of back propagation ANN,one prediction model for height of water fractured zone was built,which was tested to be successful.According to the calculated weight,the effect degree of 10 indexes was analyzed.Depth and length in the dip direction of mining face were thought of greater effect,for which explanation was done. |
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| Keywords: | ANN(Artificial Neural Network) height of water fractured zone prediction |
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