dynamical similarity

基本解釋

A method of chaotic time series prediction problem based on local dynamical similarity is proposed.
基于混沌系統(tǒng)局部特征，提出了一種局部動(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.
基于這個(gè)解，文中導(dǎo)出了具有任意自相似指數(shù)的正交異性體反平面彈性動(dòng)力學(xué)問(wèn)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。