A method of chaotic time series prediction problem based on local dynamicalsimilarity is proposed.
基于混沌系统局部特征，提出了一种局部动力相似的混沌时间序列的预测方法。
2
The result shows that the fuzzy similarity index is better than dynamicalsimilarity index in increasing anticipation time and decreasing false prediction rate for the prediction of epileptic seizure.
分析结果表明模糊相似性指数方法能够比动态相似性指数方法获得更长的预测时间和更低的错误预测率。
3
On the basis of this solution, a complete solution for the anti-plane elastic dynamical problem with an arbitrary index of self-similarity in the orthotropic body is given.