本文提出了一种混沌水文时间序列区间预测算法。
An interval prediction algorithm for chaotic hydrological time series is proposed.
针对短时间序列的特殊性，根据仿真模型的现代谱确认技术，用置信区间的方法作为定量的统计决策。
The technique of modern spectrum validation is powerful in ensuring the similarity of simulation results to the real experimental results of short time series.
应用线性回归分析和移动平均理论，对按时间次序排列的单一数据序列，给出了一种线性移动自回归预测模型，并对原始数据受不确定因素影响而产生的随机振荡，给出了合理的控制区间和运行通道。
The theory of linear regression and the theory of moving average are applied to analyse single data in time series, the model of a linear moving self regression forecast are given out.
讨论混沌时间序列的区间预测，给出了最优嵌入维数的搜索算法及区间预测算法，并应用于实例，取得较好效果。
Algorithms for searching the optimal embedding dimension and interval prediction are presented, which can be applied in practice with satisfactory.
讨论混沌时间序列的区间预测，给出了最优嵌入维数的搜索算法及区间预测算法，并应用于实例，取得较好效果。
Algorithms for searching the optimal embedding dimension and interval prediction are presented, which can be applied in practice with satisfactory.
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