|
| SW—GP组合算法在煤矿监测数据预警预报中的应用 |
| Alert and Forecast for Mine Safety Monitoring Data Based on Sliding Window - Genetic Programming Algorithm |
| |
| DOI：10.3969/j.issn.1671-5322.2012.02.009 |
| 中文关键词: 煤矿安全 滑动窗口 遗传程序设计 预警预报 |
| 英文关键词: Coal Mine Safe Sliding window Genetic programming Alert and forecast |
| 基金项目:江苏省教育厅科研成果产业化推进项目，江苏省新型环保重点实验室开放课题 |
|
| 摘要点击次数: 4695 |
| 全文下载次数: 3861 |
| 中文摘要: |
| 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，提出滑动窗口一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。 |
| 英文摘要: |
| 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. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |