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optimization相关的网络例句

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

In optimizing design, there are some contradictions amongst every object of the system;the main object of system and the object of subsystem also have some contraventions as well as the object of every subsystem. Because of those problems, the optimum allocation of the main system cannot be achieved by optimizing every single subsystem;That is to say, the connection of simple optimization is unequal to the complex optimization.

工程系统优化设计中,不但多个目标间存在矛盾、而且系统总目标与子系统目标间及各子系统目标间也存在矛盾,所以各子系统单独优化后所得结果一般说来并不意味着工程系统本身的优化,正像各构件独立优化后凑成的结构并不一定最优一样。

To improve solution efficiency,the feasibility of the optimization problem is analyzed to found the parallel environment,and the parallel program of spot-weld optimization is exploited with C++ and Fortran languages.

为了提高求解效率,对优化问题的可并行性进行了分析,搭建并行环境,用C++和Fortran语言开发了焊点优化问题的并行程序。

For the posed robust fuzzy optimization model, we first derive its deterministically equivalent form(which is just a nonlinear optimization problem), and then analyze the property of the feasible set of it.

论文摘要:本文考虑了鲁棒最优化问题的不确定参数的模糊性质,从而导出了一种新的最优化问题,本文称之为鲁棒模糊最优化问题。

In order to implement the optimization of diplexers, an optimization software have been designed in this thesis.

为了实现我们这一套优化方法,专门编写了优化软件。

Then we establish the optimization means on the basis of objective function, and take advantage of the flexibility of circuit optimization technique to obtain the optimum parameters of diplexers.

然后,根据目标函数(高维、高阶非线性的特点)构造出一整套优化方法,利用电路优化技术的灵活性求出双工器的最佳设计参数。

In the traditional neural networks based on gradient decline, nonlinear object functions with multiple extrema are easy to get stuck in the problem of local optimization solution. Therefore, a new method of chaos optimization neural network with weight learning is introduced in this paper.

针对传统的基于梯度下降法BP神经网络中存在非线性多极值目标函数易陷于局部最优解的问题,提出了一种权值学习混沌优化的神经网络方法。

By two application examples of function extrema and neural network weights optimization, the simulation results show that the approach is superior to the common quantum genetic algorithm and the simple genetic algorithm in both search capability and optimization efficiency.

以函数极值优化和神经网络权值优化为例,仿真结果表明该方法在搜索能力和优化效率两个方面优于普通量子遗传算法和简单遗传算法。

IPOSEQ is an algorithm for infeasible path optimization for sequential modular of petro-chemical process design. Developed by L.T. Biegler and R.R. Hughes, the algorithm is very efficient for solving modular system optimization problems.

各种化工过程模拟软件,如FLOWTRAN,PROCESS或ASPE卜PLUS,现在已广泛应用于石油化工过程的模拟和分析,但是利用这些软件来进行优化设计还有一定的困难。

The key to success for design optimization is to define the model parametrically and to form a correct analysis file, this thesis has discussed the details and notices of parameterized modeling as well the creating of analysis file, which would be helpful for structure optimization designer.

优化设计成功与否的关键是参数化建模与形成分析文件,本文详细讨论了参数化建模的细节与注意事项以及分析文件的形成,为结构优化设计人员提供帮助。

On the side of optimizing reactive compensation, a new concept of power-impedance quadrature and a new method of determining the points of reactive compensation according to power-impedance quadratures are presented. Combined with the bus voltage-reactive sensitive coefficients and the linear arithmetic of reactive optimization, the arithmetic and model of distribution network reactive optimization are achieved.

在无功补偿的优化配置方面,提出了功率阻抗矩的新概念以及按等功率阻抗距确定无功补偿点位置的新方法,并结合节点的电压无功灵敏度系数以及无功优化的线性化方法,实现了配网无功优化的算法和模型,算例表明了方法的有效性。

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