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penalty function相关的网络例句

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与 penalty function 相关的网络例句 [注:此内容来源于网络,仅供参考]

Second, according to model characteristic, such as non-linear, non-convex, multiple-peaked and so on, the paper discusses limitation of traditional solving algorithm, such as branch and bound method, GBD method and OA method, puts forward penalty function-makeup integer algorithm and genetic algorithm, analyses procedures of genetic algorithm, such as selection, crossover and mutation, brings forward modifications for specific realized problems of genetic algorithm, such as selection of initial points, operator design, adoptive value adjustment, constraint treatment and so on, and works out correlated solving program.

其次针对该模型非线性、非凸、多峰等特点,讨论了分支定界法、GBD法和OA法等传统求解算法的局限性,提出了罚函数一凑整算法和遗传算法的求解思路,对遗传算法的选择、交叉、变异等过程进行分析,对遗传算法初始点选择、算子设计、适应值调整和约束处理等具体实现问题提出了改进措施,并编制了相关的求解程序。

Moreover the choice of penalty function in line search is difficult.

而且线搜索中的罚参数的选择通常比较困难。

It also was found that the change of penalty function's coefficient could get optimum operation condition of different product purity.

研究还表明,通过控制罚函数系数,可得不同产品纯度要求下的最优操作条件。

Mostly on the selection of kernel function and penalty coefficient C.

众所周知,支持向量机的性能主要取决于两个因素:核函数的选择;惩罚系数C的选择。

In order to realizing collaborative design, we put forward a collaborative algorithms based compound penalty function, which get rid of the drawbacks of CO .

为了解决在并行求解过程中存在的公共设计变量不一致问题,提出了一种基于罚函数的协调方法。

The condition number of modified Lagrange function's Hessian is estimated, which also depends on the penalty parameter.

最后估计了修正Lagrange函数的Hesse阵的条件数,它同样依赖于罚参数。

The content of our curriculum are:Optimization under unconstrained conditions and constrained conditions,we'll focus on common methods of this field like Conjugate gradient method,DFP,POWELL method,The multiplier method,Penalty Function Method and so on.

主要讲授内容为无约束条件及有约束条件下的优化设计,重点介绍了共轭梯度法,变尺度法,POWELL法,乘子法,惩罚函数法等电路优化的常用方法。

A new adaptive penalty function is presented to solve constrained optimization problems.

提出一种新的自适应惩罚函数法,用来处理约束优化问题。

This optimization method is a method, called the penalty function method, is a condition for constrained optimization.

详细说明:这个是优化方法中的一种方法,叫做罚函数法,是一种用于带约束条件的优化。

Gerber and Shiu (1998a) and Tsai and Willmot (2002) all consider the renewal equation for the expected discounted penalty function at ruin Ф and its decomposition in this risk process. In their proceeding, they assumed the twice continuous differentiability of Ф,Ф〓,Ф〓 as a premise but its proof isn't obvious.

Gerber and Landry(1998)及Tsai andWillmot(2002)考虑了此模型下的破产时罚金折现期望Ф所满足的更新方程及其分解后的因子Ф〓和Ф〓,但它们的推导过程都是在假定Ф,Ф〓,Ф〓连续且二次连续可微的前提条件下进行的,但实际上此前提假定的成立并非显然。

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