该算法适合处理非线性优化问题。
The algorithm is suit for handling the complex and nonlinear optimization problems.
这是一个复杂的非线性优化问题。
模型用非线性优化软件LINGO求解。
剩余静校正问题实质上是一个非线性优化问题。
介绍非线性回归和操作条件的非线性优化方法。
The non linear regression and non linear optimization methods for operating conditions were introduced.
因此需要引进一些非线性优化算法求解全局最优解。
Some nonlinear algorithms are needed to achieve global optimal solutions.
为了降低噪声影响，使用非线性优化算法优化初值。
To reduce the influence of noise, the initial result was optimized with the Levenberg-Marquardt algorithm.
把这些NCP函数应用到解非线性优化问题的方法中。
Then we apply these NCP functions to some nonlinear optimization methods.
该模型中的资源分配问题是一个非凸的非线性优化问题。
The problem of resource allocation in this scheme is a non-convex non-linear optimization problem.
该非线性优化问题用渐进外逼近算法可求出其全局最优解。
The sequential outer approximation approach can give a global optimization solution to the original problem.
神经网络的数学算法可将样本的输入输出转变为非线性优化算法。
Mathematical algorithm in nerval network can change the input and output of a sample into nonlinear optimal algorithm.
把这个实际问题，归结为含有等式与不等式约束的非线性优化问题。
This actual problem is considered as a nonlinear optimal problem with equality and inequality constraint.
提出了一种基于节点电压非线性优化模型的变电站接地网故障诊断方法。
This paper proposes a fault diagnosis method for grounding grid based on nonlinear nodal voltage optimization model.
基于神经内分泌系统的整体调节机制，提出一种非线性优化智能控制器。
Based on the modulation mechanism of neuroendocrine-immune system, we present a nonlinear optimized intelligent controller (NOIC) in this paper.
脑电源定位可以归结为优化问题，非线性优化方法是解决这一问题的有力工具。
The problem of EEG source location may be summed up as optimization problem. It is generally accepted that nonlinear optimization methods are good tools to solve this problem.
对于子阵进行划分，是一个复杂的非线性优化问题，传统的优化算法无法胜任。
Partition subarray is a complicated nonlinear optimization task and traditional linear optimization algorithms do not work.
同时，应用非线性优化技术进行全压力史自动拟合，证明能够有效确定油藏参数。
Meanwhile, applied the nonlinear optimization technology to match automatically in all the pressure history, it is proved that the reservoir parameters can be determined effectively.
该算法将复杂的非线性优化问题根据不同的优化约束条件，分解为三个求解阶段。
The algorithm decomposes the complex non-linear optimal problem into three courses, according to the different constraints.
针对前面提出的非线性最优控制问题与非线性优化问题，分别构造了相应的算法。
For above nonlinear optimal control models and nonlinear optimal problem, corresponding algorithms arc formed.
其隐含并行性和对全局信息有效利用，使得该算法适合处理复杂和非线性优化问题。
This algorithm is especially suitable to soling complex or non-linear optimization questions, as it not only has parallel nature but makes full use of overall information.
该方法用附加大惯性项来协调各个权重的优化训练，运用非线性优化方法调节步长。
Large inertia term is used in the training of each weight in case against the divergence of the algorithm.
使用仿射变换内点回代技术的信赖域子空间算法解线性不等式约束的非线性优化问题。
We present an affine scaling trust region algorithm with interior back - tracking and subspace techniques for nonlinear optimizations subject to linear inequality constraints.
采用遗传算法与常规非线性优化方法相结合的途径，进行试并典型曲线的自动拟合研究。
Through a hybrid way to combine Genetic Algorithms (GA) with convention nonlinear optimization, a study of automated match typical curve of well test has been done by this paper.
本文提出了一种改进的免疫算法，对蜂窝网络无线定位估计中的非线性优化问题进行求解。
An improved immune algorithm is put forward and applied for nonlinear optimization in cellular wireless location.
提出了一种在互联电力系统中考虑信息结构约束条件下协调设计非线性优化励磁控制的方法。
This paper proposes an approach to coordinated design of nonlinear optimal excitation control under information structure constraint in interconnected power systems.
对三目标的非线性优化设计问题，采用了线性加权和的方法，其中加权因子系用像集方法算出。
The linear weighted aggregative method is used for three objective nonlinear optimization problem. In which weighing factors are calculated with the method of image sets.
实例表明该优化算法能够提高搜索效率，在解决各种复杂的非线性优化问题方面具有广阔的前景。
This algorithm can improve optimal search efficiency and has broad use for treating all sorts of problems of complicated nonlinear optimization.
实例表明该优化算法能够提高搜索效率，在解决各种复杂的非线性优化问题方面具有广阔的前景。
This algorithm can improve optimal search efficiency and has broad use for treating all sorts of problems of complicated nonlinear optimization.
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