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TranslationMobile

線性現(xiàn)象

"linear" in Chinese : adj. 1.線的，直線的。 2.長度的。 3.【數(shù)學(xué)】 ...
"phenomena" in Chinese : n. phenomenon 的復(fù)數(shù)。
"non-linear phenomena" in Chinese : 非線性現(xiàn)象
"phenomena" in Chinese : n. phenomenon 的復(fù)數(shù)。
"be linear with" in Chinese : 與...成線性關(guān)系
"linear" in Chinese : adj. 1.線的，直線的。 2.長度的。 3.【數(shù)學(xué)】一次的，線性的。 4 ...
"linear a" in Chinese : 線形文字a; 線性文字a
"no-linear" in Chinese : 非線性的
"abnormal phenomena" in Chinese : 反?，F(xiàn)象; 異?，F(xiàn)象
"abstruse phenomena" in Chinese : 玄關(guān)露象
"accidental phenomena" in Chinese : 偶然現(xiàn)象
"accompanying phenomena" in Chinese : 伴隨現(xiàn)象
"adiabatic phenomena" in Chinese : 絕熱現(xiàn)象
"adsorption phenomena" in Chinese : 吸附現(xiàn)象
"afterimage phenomena" in Chinese : 殘像現(xiàn)象

Examples

Several non - linear phenomena are also analyzed . by using uncoupled thermal - structure analyzing method , with the consideration the additional stiffness caused by thermal stress , the finite element model for thermal - vibration analysis is obtained and two typical hypersonic wing structures are computed
運用非耦合熱-結(jié)構(gòu)分析方法，考慮熱應(yīng)力引起的附加剛度，得到熱環(huán)境下的結(jié)構(gòu)分析的有限元模型，并計算了兩種典型結(jié)構(gòu)的高超音速翼面熱結(jié)構(gòu)。
In the second part , we try to apply orthogonal polynomial approximations to the dynamical response problem of the duffing equation with random parameters under harmonic excitations . we first reduce the random duffing system into its non - linear deterministic equivalent one . then , using numerical method , we study the elementary non - linear phenomena in the system , such as saddle - node bifurcation , symmetry break bifurcation , phenomena in the system , such as saddle - node bifurcation , symmetry break bifurcation , period - doubling bifurcation and chaos
本文第二部分嘗試將正交多項式逼近方法應(yīng)用于隨機duffing系統(tǒng)，提出與之等價的確定性非線性系統(tǒng)的新概念，并用數(shù)值方法對該系統(tǒng)在諧和激勵下的鞍結(jié)分叉、對稱破裂分叉、倍周期分叉、和混沌等各種基本非線性響應(yīng)進(jìn)行了初步探討。
An artificial neural network （ ann ） model was developed and used in different water bodies to predict timing for environmental changes as well as for the dynamics of resources . the results show that the ann model is superior to classical statistical models ( csm ) and can be used as predictive tool for highly non - linear phenomena
用人工神經(jīng)網(wǎng)絡(luò)方法對不同水域、不同環(huán)境因子之間非線性和不確定性的復(fù)雜關(guān)系進(jìn)行學(xué)習(xí)訓(xùn)練并預(yù)測檢驗，結(jié)果表明:人工神經(jīng)網(wǎng)絡(luò)方法在模擬和預(yù)測方面均優(yōu)于傳統(tǒng)的統(tǒng)計回歸模型，在資源與環(huán)境方面的應(yīng)用是可行的，具有較強的模擬預(yù)測能力。