The iterative optimization algorithm is an important method in pattern recognition.
迭代最优化算法是模式识别中一种重要方法。
The method of choosing the thresholds is improved using the iterative optimization method.
采用迭代优化方法改进了阈值选取办法。
The corner detection algorithm, avoidance of the degeneration problem and the fundamental matrix iterative optimization algorithm based on rank-2 constraint were introduced.
给出了角点检测算法、退化问题的避免措施以及基于秩2约束的基础矩阵迭代优化求解的方法。
The preliminary magnetic field inhomogeneity values (8) are used as start values for an iterative optimization procedure (19) for determining the final local magnetic field inhomogeneity values.
将局部磁场不均匀性初值（8）作为用于确定局部磁场不 均匀性终值的迭代优化程序（19）的开始值。
They are a kind of stochastic search iterative algorithm and no demand of optimization object.
它们均是一种随机搜索的迭代算法，对优化对象的性态无要求。
With the use of a robust error mapping function, an affine model-based target tracking algorithm is formulated, in which a quasi-Newton's iterative method is implemented in the optimization progress.
在采用一个鲁棒性匹配误差映射函数的基础上，使用一种类牛顿法的迭代优化方法实现了基于仿射模型的图像目标跟踪算法。
Computer simulation demonstrates that nonlinear local optimization methods are effective for EEG inverse solution if the source number is one or two and the initial iterative values are reasonable.
仿真结果表明，在处理一个或两个源场的情况下，如果迭代初值选择合理，非线性局域优化方法可以有效地解决脑电逆问题。
The phase distribution of DOE is optimization result of iterative phase retrieval algorithm.
DOE的相位分布由数值迭代相位恢复算法优化得到。
They are stochastic search iterative algorithms and no demand of optimization object.
它们均是随机搜索的迭代算法，对优化对象的初始状态无要求。
The extended Lagrangian method is used for restraining the optimization technique and Newton iterative method for solving the mathematical model.
选用了增广拉格朗日法约束优化技术和牛顿迭代法求解数学模型。
Extending it to iterative solution of structural optimization nonlinear criterion equations, complete automatization of iterative seeking solution for structural optimization can be implemented.
将其推广到结构优化非线性准则方程组的迭代求解，可实现结构优化迭代求解的完全自动化。
Conjugate gradient methods are important iterative methods for solving optimization problems.
共轭梯度法是求解最优化问题的一类有效算法。
Usually, it is an iterative procedure to find a solution for fuzzy optimization problem under symmetric condition, which requires much computational effort.
通常，对称模糊优化模型的求解是一个迭代过程，要多次求解规划问题。
Due to the iterative property of such algorithm, there arises the issues of optimizations, including algorithmic optimization and cost optimization.
但相应算法本质上是迭代性的，这样一来就又存在一个优化的问题，包括算法本身的优化与实现开销的优化两方面。
Their common purpose is to compute the displacement at each iteration step in any optimization algorithms and obtain a new iteration point. But the methods of produce iterative step are different.
它们的共同目的都是在优化算法中求出每次迭代步的位移，从而求出新的迭代点，但是它们产生迭代步位移的途径不同。
The procedures of iterative equivalent and internal bus modification are followed to gain the convergence of distributed reactive optimization.
如此交替等值和内点法修正，直到分布式无功优化计算收敛。
The optimal iterative search process includes the selection of the parameter optimization algorithm, the gray interpolation calculation during the process of coordinate transformation.
其中优化迭代搜索过程又包括各参数优化算法的选取、坐标变换过程中灰度的插值计算等。
A novel iterative algorithm for optimization design of non-frequency-selective FIR digital filters is proposed based on the windowing method.
提出一种基于窗函数法设计FIR数字滤波器的优化算法。
On basis of these, an improved iterative algorithm is used in the exact adjustment to ensure the global optimization.
在此基础之上，利用改进的迭代算法完成曲面匹配的精确调整达到了全局最优化的目标。
Through iterative and mutual optimization, the best-optimized parameters of BP network were obtained.
通过交互迭代优化，最终得到调整后的BP网络的最佳参数值。
The iterative learning control is studied for the procedure of industrial process steady state optimization in order to improve the dynamic performance of control systems.
针对具有噪声的工业过程稳态优化进程，提出迭代学习控制以期改善控制系统的动态品质。
Computational examples show that the modified subgradient optimization algorithm for Lagrangean relaxation can reduce the iterative steps obviously, and is proved to be efficient.
算法实例表明，改进后的拉格朗日松弛算法迭代步数显著减少，证明算法是有效的。
The author emphasizes that optimization of protection is a forward-looking iterative process aimed at preventing exposures before they occur.
强调了辐射防护最优化过程是不断进行的循环过程。
Romax tools allowed us to transform the transmission NVH process from a test-based hardware iterative approach to a process focused on up-front design optimization.
Romax软件帮助我们实现了NVH分析过程从基于物理样机反复测试的模式转变为着眼于虚拟 样机优化设计的模式。
Optimization of the circuit configuration was performed by means of iterative SPICE analysis.
电路最佳参数的选择是借助于反复使用SPICE分析程序来完成的。
Both the two optimization method results consistent, but the latter iterative procedure is less and simple in calculation.
两者优化结果一致，但后者迭代步骤更少，计算简便。
Based on the model, the Taylor series coefficients of control function are adjusted by an iterative learning law and the learning gain matrix is designed via LMI optimization.
模型的基础上，泰勒级数的系数调整控制功能的迭代学习法律，学习增益矩阵，通过LMI优化设计。
The iterative regression is a more ideal way for optimization of regression equation.
逐步回归是对回归方程进行优化的一种比较理想的方法。
No need to change the network topology circumstances, the path optimization between two arbitrary nodes is obtained by the iterative algorithm.
在不改变网络的拓扑结构的情况下，该算法可同时获得所有任意两点间的最优路径。
No need to change the network topology circumstances, the path optimization between two arbitrary nodes is obtained by the iterative algorithm.
在不改变网络的拓扑结构的情况下，该算法可同时获得所有任意两点间的最优路径。
应用推荐