The gradient optimization algorithm based on the stochastic finite element was adopted to analyze the reliability of the frame with stochastic parameters.
基于随机有限元的梯度优化算法引入拥有随机参数的框架可靠度分析。
The first order gradient optimization algorithm is employed to train the network. The training samples stem from the neutron kinetics of the point-reactor.
神经网络的训练采用一阶梯度优化算法，利用点堆中子动力学模型产生训练样本。
This paper researches the application of the stochastic parallel gradient descent (SPGD) optimization algorithm on the beam cleanup system.
就随机并行梯度下降(SPGD)最优化算法在光束净化系统中的应用展开研究。
In order to attain a high-resolution image, the algorithm is based on the MAP algorithm, solving the optimization by proposed iteration steps with using the gradient projection method.
该方法基于MAP算法，通过利用梯度投影的方法对重建结果不断进行迭代优化得到最终的理想高分辨率影像。
A new hybrid algorithm which combines the chaos optimization method and the nonlinear conjugate gradient method approach having an effective convergence property is proposed.
利用优化问题的非线性共轭梯度法与混沌优化方法相结合，提出了一种新的混合优化算法。
A coupled optimization algorithm combined gradient search with chaotic search is proposed and its (convergence) is discussed.
提出一种混沌梯度组合全局优化算法，并对该算法进行了收敛性分析。
In this paper, dynamical LMS algorithm and global optimization algorithm, with a view to gradient of error probability, are proposed based on analysis of sub-carries allocation space for OFDM system.
通过对OFDM的子信道比特分配空间进行分析，本文提出着眼于误比特概率梯度的动态lms算法和全局优化算法。
An algorithm of PID gradient descent with momentum term (PIDGDM) is proposed. In this algorithm, the procedure of gradient optimization is considered as a feedback control system.
将梯度优化过程看作反馈控制系统，从而提出了一种带动量项的PID梯度算法(PIDGDM)。
Through embedding a gradient descend operator into the generic algorithm, a hybrid algorithm is achieved with fast convergence and great probability for global optimization.
在遗传算法中嵌入一个梯度下降算子，使得混合算法既有较快的收敛性，又能以较大概率得到全局极值。
The traditional fuzzy C-means (FCM) algorithm is an optimization algorithm based on gradient descending. it is sensitive to the initial condition and liable to be trapped in a local minimum.
传统的模糊c -均值(FCM)聚类是一种基于梯度下降的优化算法，该方法对初始化较敏感，且易陷入局部极小。
In the process of optimization, the gradient computation of the energy function with respect to optical parameters is critical, for which, an algorithm based on the gradient tree is put forward.
优化过程中，能量函数关于光学参数的梯度计算是关键，本文提出一种基于梯度树的梯度求解方法。
Then by utilizing the features of this model an online optimization algorithm that combines policy gradient estimation and stochastic approximation is derived.
然后利用这种模式的特点，在线优化算法相结合的策略梯度估计及随机逼近而得。
The decreasing gradient algorithm and chaos algorithm both have shortcomings for optimization problems.
梯度下降法与混沌优化法均具有各自的缺点。
The simulation results show that the coupled algorithm is able to make full use of the quickness of gradient search and the ability of global optimization of chaotic search.
仿真结果表明，耦合算法能够充分利用梯度搜索的快速性和混沌搜索全局优化的能力。
This paper describes a non-linear programming algorithm for the optimization of voltage and reactive power in the electric power system. The reduced gradient method is used in the algorithm.
本文叙述了采用非线性规划法进行电力系统无功和电压优化的一种实用方法，其数学模型为梯度法。
This paper describes a non-linear programming algorithm for the optimization of voltage and reactive power in the electric power system. The reduced gradient method is used in the algorithm.
本文叙述了采用非线性规划法进行电力系统无功和电压优化的一种实用方法，其数学模型为梯度法。
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