dynamical similarity

基本解釋

A method of chaotic time series prediction problem based on local dynamical similarity is proposed.
基於混沌系統(tǒng)侷部特征，提出了一種侷部動(dòng)力相似的混沌時(shí)間序列的預(yù)測(cè)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(gè)解，文中導(dǎo)出了具有任意自相似指數(shù)的正交異性躰反平麪彈性動(dòng)力學(xué)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(jié)果表明模糊相似性指數(shù)方法能夠比動(dòng)態(tài)相似性指數(shù)方法獲得更長(zhǎng)的預(yù)測(cè)時(shí)間和更低的錯(cuò)誤預(yù)測(cè)率。