通过用虚假临界点法计算嵌入维数可以使小数据量法更加完善。
The small-data method is improved by false nearest neighbor method calculating embedding dimension.
实例分析表明，相对于单嵌入维数法，多嵌入维数组合预测方法可以综合利用不同相空间中的有用信息，提高径流时间序列预测的精度。
The results of actual runoff prediction show that the proposed method could use information synthetically in multi-dimension embedding phase spaces, and effectively improve the prediction accuracy.
实例分析表明，相对于单嵌入维数法，多嵌入维数组合预测方法可以综合利用不同相空间中的有用信息，提高径流时间序列预测的精度。
The results of actual runoff prediction show that the proposed method could use information synthetically in multi-dimension embedding phase spaces, and effectively improve the prediction accuracy.
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