It is probably high dimensional chaos with DCOTT of the attractor greater than 4 and smaller than 5.
它很可能是吸引子的关联维介于4到5之间、系统本身的维数大于5的高维混沌。
参考来源 - 肌电信号的非线性动力学分析It is probably high dimensional chaos with DCOTT of the attractor greater than 4 and smaller than 5.
它很可能是吸引子的关联维介于4到5之间、系统本身的维数大于5的高维混沌。
参考来源 - 肌电信号的非线性动力学分析·2,447,543篇论文数据，部分数据来源于NoteExpress
提出了一种新型的高维混沌同步控制方法。
A novel method of high dimensional chaos synchronous control is stated.
但降维方法丢失了高维混沌的部分信息，存在着一定的局限性。
At present, reducing dimension is the leading method to study high-dimensional chaos, but such methods is limited due to losing some information.
但是当前的研究多数是针对低维混沌信号，本文对高维混沌特性的脑电信号的预测研究作初步探讨。
However, most existing research results are main about the prediction of the low-dimension chaotic signal, we investigate the prediction of high-dimension chaotic EEG signal in this paper.
应用推荐