摘要
利用相空间重构技术,并借助C-C方法和小数据量法从一维瓦斯涌出量时间序列中提取最大Lyapunov指数。结果表明:最大Lyapunov为0.28126的瓦斯浓度时间序列具有混沌特性,且在短期内,预测结果与实际情况符合较好。
Applying phase space reconstruction method , C-C arithmetic and small data sets, this paper distills the largest Lyapunov exponent from one-dimension time series of Gas Emissions. The results show that the time series has a chaotic characteristic while the largest Lyapunov exponent is 0.281 26, and the predictive result is satisfactory in short time.
出处
《科技信息》
2008年第31期34-34,20,共2页
Science & Technology Information
关键词
瓦斯
混沌时间序列
预测
gas
chaotic time series
forecasting
