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linear phenomena中文什么意思

發(fā)音:   用"linear phenomena"造句
  • 線性現(xiàn)象
  • linear:    adj. 1.線的,直線的。 2.長度的。 3.【數(shù)學】 ...
  • phenomena:    n. phenomenon 的復(fù)數(shù)。
  • non-linear phenomena:    非線性現(xiàn)象
  • be linear with:    與...成線性關(guān)系
  • linear:    adj. 1.線的,直線的。 2.長度的。 3.【數(shù)學】一次的,線性的。 4.【動、植】線狀的;細長的。 5.由線條組成的,以線條為主的,強調(diào)線條的。 linear amplification 直線放大。 a linear equation 一次方程式。 a linear leaf 線形葉。 linear arts 線條藝術(shù)。
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例句與用法

  1. 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)。
  2. 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)進行了初步探討。
  3. 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)系進行學習訓練并預(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。

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