本文采用混沌局域预测法建立了一个线性模型对浸润面实测数据进行预测，预测结果表明，建立的混沌预测模型计算量较小，易于操作且预测精度较高。
The results show that the calculating quantity of the proposed forecasting model is less and the model is prone to be operated and the precision of forecasting is better.
针对混沌时间序列的最近邻域预测法，提出了改进的最近邻域点优化选择方法和加权一阶局域线性预测法。
Optimal choice method of the nearest neighboring points and adding weight one-rank local region method is introduced on the nearest neighboring forecasting method of chaotic time series.
提出了一种用于混沌时间序列预测的改进型加权一阶局域法。
This paper proposes an improved adding-weight one-rank local-region method for prediction of chaotic time series.
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