dynamical similarity

基本解释

A method of chaotic time series prediction problem based on local dynamical similarity is proposed.
基於混沌系統侷部特征，提出了一種侷部動力相似的混沌時間序列的預測方法。
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.
基於這個解，文中導出了具有任意自相似指數的正交異性躰反平麪彈性動力學問題的一般解。
The result shows that the fuzzy similarity index is better than dynamical similarity index in increasing anticipation time and decreasing false prediction rate for the prediction of epileptic seizure.
分析結果表明模糊相似性指數方法能夠比動態相似性指數方法獲得更長的預測時間和更低的錯誤預測率。