Based on the powerful nonlinear reflection and training function of artificial neural networks, the model of BP neural network for foundation piles integrity testing is put forward.
利用人工神经网络强大的非线性映射能力和学习训练功能，提出了基于BP网络的基桩完整性检测模型。
This model is represented in terms of a "damage index" which is a nonlinear function of maximum deformation and accumulated energy dissipation, and follows Weibull distribution.
此模型由一“破坏指标”表示，它是最大变形和累积能量耗损两个参数的非线性函数，其统计特性服从威布尔分布。
By using nonlinear VAR model and impulse response function, this paper explores the reaction of "output—employment" system under the outer shocks.
本文使用非线性向量自回归模型和脉冲反应函数，分析“产出-就业”系统在外部冲击下的反应。
By using a concept of adaptive expected output and modern control theory, a dynamic adaptive Cournot model, which the inverse demand curve function is nonlinear in the market, is established.
本文通过引入自适应期望产量的概念，利用现代控制工程理论建立了市场非线性反需求函数下的自适应动态古诺模型。
However, the traditional M-P neuron model which used connective weights and a nonlinear activation function simulate the operation of neural's synapse and soma respectively.
然而，传统神经元的M - P模型用连接权值和非线性激活函数分别模仿神经元的突触和细胞体的作用。
After introducing the linear spline function, a local nonlinear dynamical and statistical climate model and its inversion method was designed according to the inversion theory.
根据反演建模理论，在引入一次样条函数的基础上，设计了一种局地非线性气候动力统计模型及其一整套反演方案。
By which linear and nonlinear frequency response function was estimated, and nonlinear stiffness coefficient and damping coefficient of the model were optimized by least square method in this paper.
利用该方法对非线性频响函数进行估计，并利用了最小二乘法对模型的非线性刚度系数和非线性阻尼系数进行了优化。
The nonlinear offline model of the controlled plant is built by LS-SVM with the radial basis function (RBF) kernel.
首先，用具有RBF核函数的LS-SVM离线建立被控对象的非线性模型；
The induced voltage of surface nuclear magnetic resonance (NMR) based on conduction model is a nonlinear function of water content distribution.
导电模型的地面核磁共振感应电动势是含水量的非线性函数。
Having nonlinear graph of data structure as model, this paper designs one city's tour-guide inquiring program and gives C alike algorithm of main program and key function.
以非线性数据结构图为模型，设计了某市导游咨询程序，并给出了其核心函数的类C语言算法。
Then, by the function expansion, the nonlinear transfer function of this model was converted to intermediate model which is linear one and can be identified using support vector regression (SVR).
再利用函数展开将模型的非线性传递函数转换为等价的线性中间模型，并通过SVR求取中间模型参数。
In the last chapter we study the asymptotic behavior of solutions to the model when the signal function is a nonlinear constant function.
第三章研究信号函数为分段常数非线性函数时模型解的渐近行为。
Scaling law of structure function in GOY model is analyzed in this paper. It is point out that the fluctuation of structure function lead to nonlinear scaling law.
分析了GOY模型结构函数的标度律。指出结构函数的振荡涨落导致非线性标度律。
The corresponding nonlinear threshold functions (bivariate shrinkage function) are derived from the model using the Bayesian estimation theory.
基于贝叶斯估计理论，得到了相应的非线性阈值函数（双变量收缩函数）。
The model of nonlinear blind source separation(NBSS) is built which the nonlinear transfer function is simulate by the P-th order polynomial function.
用高阶奇数多项式拟合非线性混合函数，建立非线性信号盲分离模型。
The model of the nonlinear system is obtained by LS-SVM, the offline model is linearize at each sampling instant and uses linear predictive function control methods to obtain the control law.
该算法采用LS-SVM回归建立非线性系统的预测模型，然后，将离线模型在每个采样周期关于当前采样点进行线性化，同时利用线性预测函数控制方法求解解析的控制律。
Then the Neural Network PID control is realised in the model. This method makes full use of nonlinear function approximation of the Neural Network.
这种方法充分利用了神经网络的非线性函数逼近能力，构造神经网络自整定PID控制器。
So there has been a great deal of interest in applying model-free methods such as fuzzy systems for nonlinear function approximation.
因此依然有很多场合需要使用无模型方法—如用模糊系统进行非线性函数逼近等。
The nonlinear oil film forces based on both steady and unsteady oil film model are coupled to the system with help of local function.
非线性油膜力则通过相应的位置矩阵耦合到系统的运动方程中去。
For such a model with indefinite variables and composing of nonlinear function series, there are some difficulties to solve out parameters efficiently and effectively in mathematics.
面对该参数个数不定的非线性数学模型，靠数学上传统的非线性拟合不能有效地求解。
This paper discusses the algorithms invariant to nonlinear scaling for more general objective function model( 3 ).
本文讨论根据较一般的目标函数模型（3）建立具有非线性尺度不变性的算法的理论依据。
A nonlinear internal model control (IMC) strategy based on radial basis function (RBF) network models was proposed for bulk polymerization of styrene.
文中研究基于径向基(RBF)神经网络算法的内模控制策略在苯乙烯本体聚合反应相对分子质量分布控制领域的应用。
A nonlinear internal model control (IMC) strategy based on radial basis function (RBF) network models was proposed for bulk polymerization of styrene.
文中研究基于径向基(RBF)神经网络算法的内模控制策略在苯乙烯本体聚合反应相对分子质量分布控制领域的应用。
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