混沌时间序列分析及应用研究.pdfVIP

32 19 武 汉 理 工 大 学 学 报 Vol. 32 No. 19 2010 10 JOURNAL OF WUHAN UNIVERSITY OF TECHNOLOGY Oct. 20 10 DOI: 10. 3963/ j. issn. 1671-4431. 20 10. 19. 044 1 2 汤 琳 , 杨永国 ( 1. , 430223; 2. , 22 1008) : 将混沌时间序列分析应用于矿井涌水预测首先, 对数据序列重构相空间, 计算L apunov 指数为 , 揭示出 涌水现象具有混沌特性然后在最大预测时间尺度内实现对涌水量的预测, 取得了精度较高的结果最后, 编制了混沌 时间序列预测系统的可视化软件 : 混沌时间序列; 重构相空间; 涌水量; 预测; 系统实现 : P 64 1. 7 : A : 1671-4431( 2010) 19-0 189-04 Chaotic Time Series Analysis an Its Application Research 1 2 TA N G L in , YA N G Yong-guo ( 1. Wuhan Universit of T echnolog Huax ia College, Wuhan 430223, China; 2. School of Resources and Earth Sciences, China Universit of Mining and T echnolog , Xuzhou 221008, China) Abstract: In this paper, chaotic time series anal sis applied to t he mine water inrush prediction. First of all, I reconstruct phase space, and obtain L apunov index which is positive. L apunov index reveal chaotic characterist ics of mine w ater inrush. And then, the predictions of water inrush are implemented w ithin the largest prediction time scale, and achieve a higher accura- c of the results. Finall , the visualization software based on chaotic time series prediction has been worked out. Key wor s: chaot ic time series; reconstruct phase space; mine w ater inrush; prediction; s stem implementat ion , , , , , [ 1-3] [ 4]