Vibration analysis of non - classical linear dynamic systems 非經(jīng)典線性動力系統(tǒng)的振動分析
Bifurcation analysis of non - linear dynamic system with a quadratic term 含平方項非線性動力系統(tǒng)的分岔研究
Gauss linear dynamic systems 線性動力系統(tǒng)
Accurate solution of non - linear dynamic systems by numerical integration method 非線性動力學(xué)常微分方程組高精度數(shù)值積分方法
Chaos is an inner stochastic motion happening in fixed non - linear dynamics system 混沌是發(fā)生在確定性非線性動力學(xué)系統(tǒng)中的一種內(nèi)在隨機運動。
As a phenomenon found in non - linear dynamic system , chaos is deterministic and random - like 混沌現(xiàn)象是非線性動力系統(tǒng)中一種確定的、類似隨機的過程。
In recent decade years , neural network is becoming the most powerful tool in predicting non - linear dynamic system 而今十幾年發(fā)展起來的神經(jīng)網(wǎng)絡(luò)理論逐漸成為非線性動態(tài)系統(tǒng)預(yù)測與建模的強有力工具。
In addition , a novel hnn method is put forward to deal with the estimation problem of the state - space expressions of general linear dynamic systems 此外,本文還提出了一種基于輸入輸出數(shù)據(jù)的線性系統(tǒng)狀態(tài)空間表達式的hnn參數(shù)估計方法。
Stock market is a complex non - linear dynamic system . it is very difficult to develop the inherent rules using the traditional timing prediction technology 股票市場是一個復(fù)雜的非線性動態(tài)系統(tǒng),利用傳統(tǒng)的時間序列預(yù)測技術(shù)很難揭示其內(nèi)在的規(guī)律。
Based on the equation of general frequency response functions ( gfrf ) of the non - linear dynamic systems , in this paper , the difference is applied to detect the non - linear element positions in a complex structure 本文在研究非線性系統(tǒng)廣義頻率響應(yīng)函數(shù)表達式的基礎(chǔ)上,導(dǎo)出一種適用于復(fù)雜結(jié)構(gòu)中非線性元件位置分布的判斷方法。