The stochastic material parameter of bending beam can be integrated with its stochastic geometrical parameter into one stochastic parameter.
弯曲梁的随机材料参数和随机几何参数可结合为一个随机参数——弯曲刚度。
Stochastic parameter sensitivity of SRM grain structure was analyzed based on viscoelastic stochastic finite element method(VSFEM) and polynomial regression model.
基于粘弹性随机有限元法（VSFEM）和多项式回归模型，分析了固体火箭发动机药柱结构的随机参数灵敏度。
Many nonlinear equations, describing either conservative or dissipative systems, show stochastic behaviour in suitable range of parameter values.
许多描述保守或耗散系统的非线性方程，在一定的参数范围内表现出内在的随机性。
The principles and application effects of elastic parameter inversion, simultaneous AVO inversion, and stochastic inversion are discussed in the topic of AVO inversion and case histories.
在反演方法及应用实例方面，主要讨论了弹性参数反演、同步反演、随机反演技术的方法原理及实际效果。
This paper discusses the parameter estimation problem of a continuous type stochastic mathematical model.
讨论一类连续型随机数学模型的参数估计问题。
When a parameter representing the anomalous level of stochastic rays is less than 0.5, there is abnormal behavior in pdf of stochastic rays, which causes the mean received power to diverge.
当描述随机射线无序程度的参数小于或等于0．5时，随机射线的概率分布有反常行为，使得计算得到的平均接收功率发生发散。
Finally, a synthesis method for recursive parameter estimation of a stochastic system is also discussed.
最后讨论了随机系统参数递推估算的综合方法。
Stochastic volatility model is one of the most important models in describing the volatility of financial market and its parameter estimation is a hot topic in this area.
随机波动模型作为金融市场波动量化研究的一种重要模型，其参数估计问题是近十余年来该领域的研究热点。
On the basis of the new mathematical description of the linear stochastic system with distributed parameter, the corresponding definition of mean-square stability is given.
基于线性随机分布参数系统新的数学描述形式，给出了相应的均方稳定定义。
Based on stochastic process theory, the bounded convergence of forgetting factor least square algorithm (FFLS for short) is studied and the upper bound of the parameter tracking error is given.
利用随机过程理论研究了遗忘因子最小二乘法(FFLS)的有界收敛性，给出了参数估计误差的上界。
We advanced the ability of restraining the parameter perturbation and stochastic distribution and improved the robust performance of the controlled system.
提高了受控系统抑制参数摄动和随机扰动的能力，改善了控制系统的鲁棒性。
Stochastic resonance in a broad sense means the output signal of the system is a non-monotonic function of some parameter of the noise, of the system or parameter of the input signal.
广义随机共振指系统的输出信号（信噪比、输出平均幅度等）是噪声、系统或信号的某个参数的非单调函数。
In this dissertation, we mainly focused on the restricted biased estimation and preliminary test estimation of parameter in linear models with equality restrictions and stochastic linear restrictions.
本文主要是研究线性模型参数在等式约束和随机线性约束下的约束有偏估计以及预检验估计等相关的一些问题。
Focusing on the parameter identification of a cable-stayed bridge model under stationary stochastic excitation, an improved subspace identification method is presented.
关注的斜拉桥模型平稳随机激励下的参数识别，改进的子空间辨识方法。
This paper presents new developments of parameter identification for MIMO discrete stochastic systems with random parameters. These algorithms are based on the stochastic approximation method.
本文讨论MIMO离散系统的随机时变参数基于随机逼近法的辨识问题。
Later, as a new trial of application of parameter-induced stochastic resonance in signal processing, the problem of target detection in sea reverberation is considered.
接着，作为参数调节随机共振在信号处理中的一个新的尝试，我们考虑了海洋混响噪声背景下的目标探测问题。
However, when the shape parameter is larger than 1, we only obtain that the minima is larger and maxima is smaller in stochastic order.
然而当形状参数大于1时，样本对应的极大值和极小值统计量有着相反的一般随机序。
Four of them, i. e. the theorems on the mean-square total differential and mean-square directional derivative are special conclusions of the multiple parameter stochastic processes.
其中关于均方全微分和均方方向导数的定理是多指标随机过程所特有的结论。
How to input a suitable facies model to parameter modelling, selecting and testifying facies models are critical to stochastic modelling, in addition to selecting facies modelling method.
要为参数建模输送合理的相模型，使所建相模型忠实于密井网区的井资料，除选择相建模方法外，优选和验证相模型是关键之一。
This paper presents new developments of parameter identification for MIMO discrete stochastic systems with random parameters.
本文讨论MIMO离散系统的随机时变参数基于随机逼近法的辨识问题。
Second, grounded on SADP, parameter dynamic optimization and computation are studied in detail for a deterministic PSO feedback system and a stochastic PSO system, respectively.
基于该模式给出简化的确定型微粒群反馈控制系统参数优化的近似计算方法，并扩展应用于具有随机变量的微粒群系统；
This paper presents new development of parameter identification for MIMO discrete stochastic linear systems with random parameters based on the least squares method.
本文讨论了参数估计和输出误差的收敛性，并给出了系统持续激励的一个充分条件。
So, time delays, parameter uncertainty and stochastic disturbances may affect the stability of the system, even lead to instability, oscillation or chaos phenomena.
时滞、参数不确定性和随机噪声都将在相当大的程度上影响神经网络的整体性能，产生振荡行为或其它失稳现象甚至出现混沌现象。
So, time delays, parameter uncertainty and stochastic disturbances may affect the stability of the system, even lead to instability, oscillation or chaos phenomena.
时滞、参数不确定性和随机噪声都将在相当大的程度上影响神经网络的整体性能，产生振荡行为或其它失稳现象甚至出现混沌现象。
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