首页 | 本学科首页   官方微博 | 高级检索  
     检索      

SW—GP组合算法在煤矿监测数据预警预报中的应用
引用本文:马如宏,董晓慧,王建林.SW—GP组合算法在煤矿监测数据预警预报中的应用[J].盐城工学院学报(自然科学版),2012,25(2):30-33.
作者姓名:马如宏  董晓慧  王建林
作者单位:盐城工学院机械工程学院,江苏盐城,224051
基金项目:江苏省教育厅科研成果产业化推进项目(JHZD07-037);江苏省新型环保重点实验室开放课题(AE201031)
摘    要:为了更有效地利用煤矿监测数据进行煤矿安全事故的预警预报,提出滑动窗口-遗传程序设计组合算法实现了监测数据的动态预测。在程序设计时,数据采样采用滑动窗口技术实现,通过遗传程序设计算法实现系统的自适应建模。通过对监测数据的测试,证明了组合算法建立模型的预测值和实际结果具有很好的一致性。

关 键 词:煤矿安全  滑动窗口  遗传程序设计  预警预报

Alert and Forecast for Mine Safety Monitoring Data Based on Sliding Window - Genetic Programming Algorithm
MA Ru-hong,DONG Xiao-hui,WANG Jian-lin.Alert and Forecast for Mine Safety Monitoring Data Based on Sliding Window - Genetic Programming Algorithm[J].Journal of Yancheng Institute of Technology(Natural Science Edition),2012,25(2):30-33.
Authors:MA Ru-hong  DONG Xiao-hui  WANG Jian-lin
Institution:(Mechamical Engineering School, Yancheng Institute of Technology, Yancheng Jiangsu 224051, China )
Abstract:SW- GP (Sliding Window- Genetic Programming) algorithm is provided to implement dynamic forecast of monitoring data in order to more effectively utilize coal mine monitoring data to alert and forecast safety accident. In the program, sampling data is obtained by sliding window technology and model is founded automatically by GP algorithm. The result of instance shows that forecasting values from the model well agree with the real values, which explains that employing SW - GP modeling can settle problem for alert and forecast for mine safety monitoring data satisfactorily.
Keywords:Coal Mine Safe  Sliding window  Genetic programming  Alert and forecast
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《盐城工学院学报(自然科学版)》浏览原始摘要信息
点击此处可从《盐城工学院学报(自然科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号