摘要
通过对基于统计理论和基于灰色系统理论的时间序列预测技术在矿井瓦斯浓度预测中的应用的比较研究,分别对实验结果进行了误差分析。充分说明了在对井下具体测点瓦斯浓度预测方面,不同时间序列预测技术具有不同的适应性,选取误差最小,最接近描述瓦斯浓度实测数据的模型对该测点进行预测会取得最为准确的预测效果。
In this paper, two time series prediction technology, based on statistical theory and the theory of gray system, were comparad in the application of forecasting coalmine gas concentration. Error analysis had been done on the experimental results respectively. It was the different time series forecasting technology with different adaptabilities in the specific points of the underground gas concentration forecasting that was fully illustrated. If the smallest error, closest description of the gas concentration model was selected, that the most accurate prediction effect would be seen.
出处
《电脑开发与应用》
2009年第6期1-3,共3页
Computer Development & Applications
基金
山西清华网络系统工程有限公司煤矿瓦斯事故智能预警系统项目(051002)资助
关键词
统计预测
灰色系统预测
时间序列
瓦斯浓度
statistical prediction, gray system prediction, time series, gas concentration
