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| 煤层开采顶板导水裂隙带高度预测研究 | |
| 引用本文： | 马亚杰,武强,章之燕,洪益清,郭立稳,田洪胜,张丽阁.煤层开采顶板导水裂隙带高度预测研究[J].煤炭科学技术,2008,36(5):59-62. |
| 作者姓名： | 马亚杰 武强 章之燕 洪益清 郭立稳 田洪胜 张丽阁 |
| 作者单位： | 1. 中国矿业大学(北京)资源与安全工程学院,北京,100083;河北理工大学资源与环境工程学院,河北,唐山,063009 2. 中国矿业大学(北京)资源与安全工程学院,北京,100083 3. 开滦(集团)有限责任公司,河北,唐山,063018 4. 中国矿业大学(北京)资源与安全工程学院,北京,100083;开滦(集团)有限责任公司,河北,唐山,063018 5. 河北理工大学资源与环境工程学院,河北,唐山,063009 |
| 摘 要： | 为科学设计防水煤(岩)柱尺寸,探讨研究了顶板导水裂隙带高度预测方法.依据顶板导水裂隙带高度与各影响因素之间难以定量的复杂非线性关系,选择具有非线性映射、泛化及容错功能的BP人工神经网络方法,提取8个预测指标,以开滦等18个矿区顶板导水裂隙带高度测试数据形成样本集,建立了导水裂隙带高度预测的三层BP网络.网络以极小误差通过检验,网络计算得到各指标影响权重大小分布与目前的研究认识吻合极好,说明该方法具有合理及适用性. |
| 关 键 词： | 人工神经网络 导水裂隙带高度 预测 |
| 文章编号： | 0253-2336(2008)05-0059-04 |
| 修稿时间： | 2008年1月26日 |
Research on prediction of water conducted fissure height in roof of coal mining seam |
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| MA Ya-jie,WU Qiang,ZHANG Zhi-yan,HONG Yi-qing,GUO Li-wen,TIAN Hong-sheng,ZHANG Li-ge.Research on prediction of water conducted fissure height in roof of coal mining seam[J].Coal Science and Technology,2008,36(5):59-62. | |
| Authors: | MA Ya-jie WU Qiang ZHANG Zhi-yan HONG Yi-qing GUO Li-wen TIAN Hong-sheng ZHANG Li-ge |
| Affiliation: | MA Ya-jie1,2,WU Qiang1,ZHANG Zhi-yan3,HONG Yi-qing1,3,GUO Li-wen2,TIAN Hong-sheng2,ZHANG Li-ge2(1. School of Resources , Safety Engineering,China University of Mining , Technology(Beijing),Beijing 100083,China,2. School of Resources , Environment Engineering,Hebei University of Science , Technology,Tangshan 063009,3. Kailuan Group Corporation Ltd.,Tangshan 063018,China) |
| Abstract: | In order scientifically to design the size of the water proof coal (or rock) pillars, the paper discussed and researched the prediction method of the water conducted fissure zone height in the coal mining face roof. According to the difficult quantitative and complicated non-linear relationship between the water conducted fissure zone height in the roof and each influence factor, a BP artificial nervous network method with non linear shining, extensive and error tolerance functions was adopted. 8 predicted ... |
| Keywords: | artificial nervous network height of water conducted fissure zone prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |