linear phenomena中文是什么意思

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中文翻译
造句

线性现象

linear adj. 1.线的，直线的。 2.长度的。 3.【数学】 ...
phenomena n. phenomenon 的复数。
non-linear phenomena 非线性现象
be linear with 与...成线性关系
linear adj. 1.线的，直线的。 2.长度的。 3.【数学】一次的，线性的。 4.【动、植】线状的；细长的。 5.由线条组成的，以线条为主的，强调线条的。 linear amplification 直线放大。 a linear equation 一次方程式。 a linear leaf 线形叶。 linear arts 线条艺术。
linear a 线形文字a; 线性文字a
no-linear 非线性的
abnormal phenomena 反常现象; 异常现象
abstruse phenomena 玄关露象
accidental phenomena 偶然现象
accompanying phenomena 伴随现象
adiabatic phenomena 绝热现象
adsorption phenomena 吸附现象
afterimage phenomena 残像现象
ageing phenomena 时效现象
allied phenomena 联系现象
antistokes phenomena 反斯托克斯现象
associated phenomena 伴生现象
atmospheric phenomena 大气现象
backlash phenomena 回差现象
bioelectrical phenomena 生物电现象
blocking phenomena 阻塞现象
broadband phenomena 宽带现象
capillary phenomena 毛细管现象; 毛细现象
capping phenomena 成卵细胞; 成帽现象

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例句与用法

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
运用非耦合热-结构分析方法，考虑热应力引起的附加刚度，得到热环境下的结构分析的有限元模型，并计算了两种典型结构的高超音速翼面热结构。
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
本文第二部分尝试将正交多项式逼近方法应用于随机duffing系统，提出与之等价的确定性非线性系统的新概念，并用数值方法对该系统在谐和激励下的鞍结分叉、对称破裂分叉、倍周期分叉、和混沌等各种基本非线性响应进行了初步探讨。
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
用人工神经网络方法对不同水域、不同环境因子之间非线性和不确定性的复杂关系进行学习训练并预测检验，结果表明:人工神经网络方法在模拟和预测方面均优于传统的统计回归模型，在资源与环境方面的应用是可行的，具有较强的模拟预测能力。

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Last modified time:Tue, 12 Aug 2025 00:29:56 GMT