1) Levenberg-Marquardt iteration
Levenberg-Marquardt迭代
2) Marquardt Iteration
Marquardt迭代法
1.
This article narrates the principle of non-linear regression, puts its emphasis on the introduction of Marquardt Iteration and Weighting Least Square,and presents a specitic paraneter estimation method and some problems which should be paid attation to,along with binary non-linear volume equation.
叙述了非线性回归的原理 ,着重介绍了Marquardt迭代法和加权最小二乘法 ,并结合二元非线性材积模型给出了具体的参数估计方法和应注意的问题。
3) Levenberg-Marquardt method
Levenberg-Marquardt算法
1.
The BP network predicting models of lead brass among superplastic tension temperature,initial strain rate and elongation,flow stress were established using the Levenberg-Marquardt method.
借助Levenberg-Marquardt算法,建立了铅黄铜超塑性拉伸温度、初始应变速率与延伸率、流动应力之间的BP网络预测模型,分析了拉伸温度、初始应变速率与延伸率和流动应力之间的关系,得出了铅黄铜最佳的超塑性条件,并以此为依据,进行了铜合金轴承保持架的超塑性成形试验。
2.
A new smoothing function is constructed for the objective function,and a globally convergent Levenberg-Marquardt method for solving the system of nonlinear inequalities is proposed based on its equivalent system of nonlinear equations.
文章研究了非线性不等式组的求解问题,利用等价转化把非线性不等式组转化为非线性方程组来加以求解,通过引进光滑参数构造了一个新的光滑函数来逼近方程组问题中的目标函数,利用构造的光滑函数给出了相应的求解非线性方程组的Levenberg-Marquardt算法,并在一定的条件下证明了该算法的整体收敛性。
4) Levenberg-Marquardt method
Levenberg-Marquardt法
1.
However,the calculating result indicates that the probability is very low for Levenberg-Marquardt method converging to optimal solution with arbitrary initial parameters.
应用倒S型模型开展损伤计算和疲劳寿命分析的先决条件是确定出不同应力水平下的模型参数,而运用Levenberg-Marquardt法进行倒S型曲线拟合的结果表明,不用任何优化方法而随意选取参数初始值时迭代收敛到最优解的概率很低。
5) levenberg-marquardt method
Levenberg-Marquardt方法
1.
Meanwhile, a new method, based on the Levenberg-Marquardt method, of evaluating the size, position and thermal conductivity of the defect from the temperature distribution on the inspection surface obtained from the infrared image is presented.
对带有缺陷的平板试件的内部传热建立了三维物理和数学模型,研究了不同缺陷尺寸、方位和导热系数时检测表面的红外特征,并根据Levenberg-Marquardt方法提出了通过表面红外测温确定内部缺陷尺寸、方位和导热系数的计算方法;分析了测量误差和缺陷导热系数对计算结果的影响。
2.
Levenberg-Marquardt method is one of the most important methods for solving systems of nonlinear equations.
Levenberg-Marquardt方法是求解非线性方程组的最重要的方法之一。
3.
This thesis focuses on the Levenberg-Marquardt method for solving the singular nonlinear system of equations.
本文主要研究了求解非线性方程组奇异问题的Levenberg-Marquardt方法。
6) Levenberg-Marquardt algorithm
Levenberg-Marquardt算法
1.
Static parameter identification of bridge structure based on Levenberg-Marquardt algorithm;
基于Levenberg-Marquardt算法的桥梁结构静力参数识别
2.
Application of Levenberg-Marquardt algorithm in the wind lidar;
Levenberg-Marquardt算法在测风激光雷达中的应用
3.
Neural network soft sensing model of alumina concentration using Levenberg-Marquardt algorithm is presented which according to soft sensing model theory.
分析了铝电解生产过程中建立氧化铝浓度神经网络软测量模型的必要性和可行性,根据软测量建模理论建立了采用Levenberg-Marquardt算法的氧化铝浓度神经网络软测量模型。
补充资料：层层迭迭
1.见"层层迭迭"。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条