Finally, connecting embedding theory with prediction errors, we propose a new prediction method to chaotic time series based on embedding technique and prediction errors on tested sets.

最后，结合嵌入理论和预测误差，提出了基于嵌入技术和确定集上预测误差的混沌时序预测方法。

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A new multi-branch time delay neural network is adopted to conduct prediction research on chaotic time series.

采用新型多重分支时间延迟神经网络进行混沌时间序列预测研究。

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Based on the delay-coordinate reconstruction and bilinear expressions in the phase space of a chaotic system, a bilinear adaptive filter was designed to predict low-dimensional chaotic time series.

基于混沌动力系统相空间的延迟坐标重构和双线性表达式，设计了预测混沌时间序列的双线性自适应预测滤波器。

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