An Inexact Steepest Descent Method for Finite Element Model Updating Problem 有限元模型修正问题的不精确最速下降迭代解
A Filter-Interior-Point Algorithm for Solving Nonlinear Complementarity Problems A Derivative-free Descent Method for Solving Quasi-variational Inequality Problem 求解非线性互补问题的无导数filter方法求解拟变分不等式问题的一类无导数下降算法
The learning method of hidden-output layer weights is the steepest descent method and the one of input-hidden layer weights is genetic algorithm ( GA). 网络隐层-输出层的权值采取最速下降法学习,输入层-隐层的权值采用遗传算法进行学习;
Image restoration algorithm based on primal-dual hybrid gradient descent method 基于原&对偶混合梯度下降法的图像恢复算法
Finally, wo present a descent method for solving VIP and study a global error bound for unconstrained optimization reformulation in order to discuss the convergence of itinerative method. 最后给出了一个求解的下降法,并考察了最优化问题的误差界问题,以分析叠代法的收敛性。
The Modified Steepest Descent Method ── Best Point in Steepest Descent method 改进的最速下降法&最好点最速下降法
A Derivative-free Descent Method for Solving Quasi-variational Inequality Problem 求解拟变分不等式问题的一类无导数下降算法
Its learning rule is to use the steepest descent method, by back-propagation network to continuously adjust the weights and thresholds, so the network and the minimum sum of squared errors. 它的学习规则是使用最速下降法,通过反向传播来不断调整网络的权值和阈值,使网络的误差平方和最小。
And the three optimization problems are solved respectively by the conjugate gradient method, the adaptive bivariate shrinking and the gradient descent method. 并提出分别采用共轭梯度法、二元自适应收缩法以及梯度下降法对以上优化问题求解。
Based on the steepest descent method and the conjugate gradient method, a hybrid algorithm is proposed in this paper, and its global convergence is proved. 将最速下降法与共扼梯度法有机结合起来,构造出一种混合优化算法,并证明其全局收敛性。
To improve the efficiency of coordinate descent method when it is applied to linear Support Vector Machine ( SVM), Powell algorithm is applied to linear SVM. 并行下降方法应用于线性支持向量机时效率较低。
Convergence theorems of the steepest descent method for generalized φ-accretive operators 关于广义Φ-增生算子的最速下降法的收敛定理
BP neural network, as its nature of gradient descent method, is easy to fall into local optimum. 但BP神经网络本质是梯度下降法,容易陷入局部最优。
Transient Stability Parallel Algorithm in Power System Based on Newton Descent Method 牛顿下山法的电力系统暂态稳定并行算法
Experimental results on UCI dataset show Powell algorithm converges fast and its accuracy is higher than that of coordinate descent method and smooth SVM. UCI数据集上的实验结果表明,算法能很快收敛,且分类精度优于并行下降算法和光滑支持向量机。
The one-dimension projection algorithm, which is the steepest descent method, based on residual space for solving linear equations is analyzed in this paper. 分析了基于残差空间求解线性方程组的一维投影算法、最速下降法和最小剩余法。
A blind restoration algorithm for turbulence-degraded image based on the steepest descent method is proposed. 提出了基于最速下降法的湍流退化图像盲目复原算法。
Finally, steepest descent method is used to obtain the optimal high-resolution face image. 最后使用最速下降法求出最优的高分辨率人脸图像。
This algorithm uses gradient descent method to adjust the measure and the pan coefficient and uses Kalman method to adjust weights. In the end, take dynamic nonlinear system and chaos system as examples to emulate and compare it to other methods. 该算法使用梯度下降方法调整尺度和平移系数,用Kalman方法调整权重,以动态非线性系统和混沌系统为实例做了仿真,并与其它方法做了比较。
A weight-learning algorithm is presented using the gradient descent method with batch process and adding a momentum item. 在神经网络中采用批处理加动量项的梯度下降算法学习。
It uses genetic algorithm for optimizing intrinsic parameters and gradient descent method for optimizing extrinsic parameters. 该标定方法内部参数的优化使用遗传算法,外部参数的优化使用梯度下降法,它具有原理简单、不需要估计初始值、鲁棒性强、标定参数更准确的优点。
In network training, we provide two parameter-improving methods: steepest descent method and sample training method. 在网络训练中,我们给出了负梯度下降法和样本训练法两种参数改进方法。
A Fast Learning Method of Fuzzy Systems Based on GA and Gradient Descent Method 一种基于GA和梯度下降法的快速模糊系统学习方法
Nonlinear Survey Data Processing Based on the Conjugate Gradient Method and the Steepest Descent Method 基于共轭梯度法和最速下降法的非线性测量数据处理
The corresponding adaptive algorithm was derived based on the steepest descent method. 基于最陡下降方法,推导出了相应的自适应算法。
Utilizing the steepest descent method and half-point scheme, a finite difference algorithm is proposed. 利用最速下降法,提出了推广模型的一种有限差分方法。
Synthes-ised Constrained Dual Descent Method for the optimization of taper roller bearing is described. 并对综合约束函数双下降法在圆锥滚子轴承优化设计数学模型中的应用进行了介绍。
A mixed method of conjugate gradient method and steepest descent method 共轭梯度法和最速下降法的混合算法
We are using the steepest descent method and the interior point method in linear programming method to solve convex optimization problem. 对于凸优化问题,本文采用最速下降法和线性规划法中的内点法来进行解决。
This paper uses a mixed method of steepest descent method and golden section method to solve the model. 并用最速下降法与黄金分割法的混合解法求解该模型。