steepest descent method
英 [ˈstiːpɪst dɪˈsent ˈmeθəd]
美 [ˈstipəst dɪˈsent ˈmeθəd]
网络 最速下降法; 最陡下降法; 最速下降算法; 最陡坡降法; 最急降下法
双语例句
- 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 - 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； - 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 - 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。 - 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。 - 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 - This paper deduces a general algorithm of the steepest descent method through the minimization of the norm, estimates the effectiveness of the algorithm through reconstructing the analog data, and compares the image reconstruction and the image reconstruction by the filter back-projection.
通过范数极小化推导出了最速下降法的一般算法，通过对模拟数据的重建估计了算法的有效性，并对重建图像与滤波反投影（FilterBack-projection，FBP）重建图像进行了比较。 - 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。 - By the steepest descent method, some meaningful results have been obtained in the calculation of the MFPT for a system with nonlinear drift.
利用最陡下降法简化所得结果，处理了具有非线性漂移的随机系统的MFPT问题。 - 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。 - The Application of the Steepest Descent Method in the Image Reconstruction
最速下降法在图像重建中的应用 - During the deduction of blind signal separation algorithms, the commonly adopted steepest descent method, natural gradient method and Newton's method to minimize the contrast function may result in the complexity of the deduction.
在盲信号分离算法的推导过程中，常采用最速下降法、自然梯度和牛顿法等对代价函数进行最小化，推导过程复杂。 - In this paper the first and second order asymptotic expansions of the propagated double-exponential pulse through waveguide or plasma are obtained by using the steepest descent method, and the analytical expressions for the amplitude and phase function of the first order expansion are derived.
本文用最速下降法推导了等离子体中双指数脉冲传播的一阶和二阶渐近展开式，并进一步推导了基于一阶渐近展开式的幅度和相位的解析表达式。 - 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。 - 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。 - Three unconstrained optimization methods 'steepest descent method, DFP variable metric algorithm and BFGS variable metric algorithm, are compared with each other.
文中比较了最速下降法、DFP变尺度法和BFGS变尺度法这三种无约束最优化算法； - The mixed method makes use of their good convergence merit, and raises the convergence rate of the conjugate gradient method and solves the problem for which the steepest descent method can not solve in the condition with bad characteristics for objective function.
这种方法充分利用了共轭梯度法和最速下降法良好的收敛优点，既提高了共轭梯度算法的收敛速度，又解决了目标函数“性态不优”时，最速下降法难以解决的问题。 - The weights of network, scale factor and displacement factor are studied by the steepest descent method, and the network parameters initialization integrates with the wavelet type, time-frequency parameters of wavelet and the training samples.
采用引入动量项的最速下降法训练网络权值、尺度因子和平移因子，将小波网络参数的初始化与小波类型、小波时频参数和学习样本等联系起来。 - In allusion to the merits and the defects of steepest descent method and chaos optimization, the dissertation puts forward a hybrid optimal algorithm based on two methods. Through validating the hybrid optimal algorithm by numerical experiments, the good optimal impact is gained.
针对混沌优化方法和最速下降法的优缺点，提出一种基于最速下降法和混沌优化的混合优化算法，并用数值试验对混合优化算法进行验证，得到很好的优化效果。 - Then modified steepest descent method which is a new LMS algorithm of adaptive filters is presented, This method is a simple and effective algorithm to solve optimum coefficient.
然后提出了一种新的LMS算法&改进的最陡下降法，该算法正是求最佳权矢量的一个简单而有效的算法。 - The conjugate gradient method and the steepest descent method are combined, and a new method-mixed algorithm method for solving the problem of nonlinear survey data processing is created in this paper.
将共轭梯度法与最速下降法有机结合起来，构造出一种解决非线性测量数据处理问题的新方法&混合算法。 - Switched capacity circuit structures of gradient methods are proposed, the common properties of the steepest descent method, Newton method and quas Newton methods are analysed. Switched capacity circuit structures for unconstrained differential optimization are investigated.
建立了梯度法的开关电容电路结构，分析了最速下降法、牛顿方法和拟牛顿法的共同特点，研究无约束差分优化的开关电容电路结构。 - 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。 - Next, the steepest descent method, Newton method, conjugate gradient method and quasi-Newton method for unconstrained optimization are explained. The links and differences of these optimization methods are pointed out.
然后，讨论了最速下降法、牛顿法、共轭梯度法和拟牛顿法等无约束优化方法，以及这些优化方法的联系和区别。 - In order to solve this problem, a hybrid genetic algorithm which introduces the steepest descent method into the genetic algorithm is proposed.
为了解决上述问题，将最速下降法这种传统优化算法引入到遗传算法中，提出一种混合遗传算法。 - 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。