|本期目录/Table of Contents|

[1]汤国水,张宏伟,韩军,等.基于MABC-SVM的含瓦斯煤体渗透率预测模型[J].中国安全生产科学技术,2015,11(2):11-16.[doi:10.11731/j.issn.1673-193x.2015.02.002]
　ANG Guo-shui,ZHANG Hong-wei,HAN Jun,et al.Prediction model on permeability of gas-bearing coal based on MABC-SVM[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(2):11-16.[doi:10.11731/j.issn.1673-193x.2015.02.002]
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基于MABC-SVM的含瓦斯煤体渗透率预测模型
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
11
期数:
2015年2期
页码:
11-16
栏目:
学术论著
出版日期:
2015-02-28

文章信息/Info

Title:
Prediction model on permeability of gas-bearing coal based on MABC-SVM
作者:
汤国水; 张宏伟; 韩军; 宋卫华
(辽宁工程技术大学 矿业学院，辽宁阜新123000)
Author(s):
ANG Guo-shui;  ZHANG Hong-wei;  HAN Jun;  SONG Wei-hua
(College of Mining Engineering, Liaoning Technical University, Fuxin Liaoning 123000, China)
关键词:
瓦斯渗透率; 支持向量机; 人工蜂群; 优化算法
Keywords:
gas permeability;  support vector machines;  artificial bee colony;  optimization algorithm
分类号:
X936
DOI:
10.11731/j.issn.1673-193x.2015.02.002
文献标志码:
A
摘要:
对含瓦斯煤体的渗透率的有效预测，可为瓦斯抽采和瓦斯灾害的防治提供理论指导，采用改进的人工蜂群算法(MABC)和支持向量机(SVM)相结合对其进行预测。应用改进的人工蜂群算法优化支持向量机的核函数参数C和g，提高了支持向量机的预测准确性。选取有效应力、瓦斯压力、温度和煤的抗压强度作为影响含煤瓦斯渗透率的主要影响指标，结合实验室测试数据，建立MABC-SVM含煤瓦斯渗透率预测模型。研究结果表明：该模型具有较强的泛化能力，可以相对准确有效的对含煤瓦斯渗透率进行预测，为瓦斯渗透率的研究提供了新的研究思路。
Abstract:
Effective prediction on permeability of gas-bearing coal will provide theoretical guidance for gas drainage and gas disaster prevention. Modified artificial bee colony algorithm and support vector machine were combined to predict coal gas permeability. The kernel function parameters C and g of SVM were optimized by modified artificial bee colony algorithm, and the prediction accuracy of SVM was improved. The effective stress, gas pressure, gas temperature and coal compressive strength were selected as main impact indicators of coal gas permeability. Combined with laboratory test data, the prediction model of coal gas permeability based on MABC-SVM was established. The results showed that the model has a strong generalization ability, which can be relatively accurate and effective to predict the coal gas permeability, and it provides a new research idea for study on gas permeability.

参考文献/References:

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备注/Memo

备注/Memo:
国家自然科学基金资助项目(51104085)
更新日期/Last Update: 2015-02-28