Mathematical algorithm in nerval network can change the input and output of a sample into nonlinear optimal algorithm.
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。
The optimal control of nonlinear random system adopted random optimal numerical algorithm based on performance potential.
非线性随机系统的最优控制，采用基于性能势的随机优化数值算法。
FSQP algorithm based method for constrained nonlinear system optimal control problem is developed.
提出了一种基于FSQP算法的约束非线性系统最优控制方法。
This paper presents an iterative algorithm of optimal control for discrete time nonlinear systems, according to the differences of the real system and its bilinear model.
针对双线性模型与实际系统之间的差异，提出一种基于双线性模型求解非线性动态系统最优控制的迭代算法。
An optimal power flow algorithm based on nonlinear complementarity method is proposed.
提出了基于非线性互补方法的最优潮流算法。
A new global optimal algorithm is presented to solve linear programming problems with nonlinear constraints.
本文提出了一种新的适用于处理非线性约束下线性规划问题的全局优化算法。
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。
Based on two -dimensional system theory, an analysis of a hierarchical optimal control algorithm for discrete nonlinear large - scale system is made.
针对非线性离散动态大系统最优控制问题，在二维系统理论的基础上，对一种基于模型求解实际问题最优解的递阶算法作了分析。
Through simulation and large, the algorithm shown in a complex nonlinear optimization is fast, efficient, robust features of the strong, and the global scope effective search all the optimal solution.
通过大量仿真和比较，表明算法在复杂非线性优选中具有快速、高效、鲁棒性强的特点，并能在全局范围内有效搜索所有最优解。
By using PWL method an optimal model set of nonlinear system multiple model adaptive control algorithm is given, which reduces the heavy computation burden in multiple model adaptive control.
给出了非线性系统多模型自适应控制算法的优化模型集建立方法，解决了多模型自适应控制模型多、计算量大的问题。
The chaotic BP algorithm is applied to nonlinear system modeling to obtain the optimal approximation in the global sense.
将混沌BP算法应用于非线性系统建模，以求获得全局意义下的最优逼近。
A nonlinear optimal selection model based on multi-dimensional niche evolution algorithm (nea) was introduced.
本文介绍了小生境进化算法(NEA)非线性优选模型。
A novel nonlinear multiple centrality corrections interior point algorithm is presented to solve optimal power flow problems of power systems in this paper.
提出了求解电力系统最优潮流问题新的非线性多中心校正内点算法。
Aim To study the nonlinear rank selection filter and its adaptive optimal algorithm, this useful filter category is derived from the median filter.
目的研究由中值滤波器推广得到的一类重要的滤波器形式及其优化设计方法。
Aim To study the nonlinear rank selection filter and its adaptive optimal algorithm, this useful filter category is derived from the median filter.
目的研究由中值滤波器推广得到的一类重要的滤波器形式及其优化设计方法。
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