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全局最优     
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  global optimization
    Genetic algorithm is a global optimization algorithm.
    遗传算法是一种全局优化算法,能以较大概率搜索到全局最优解。
短句来源
    Simulation shows that the parameters converge to global optimization with high speed,identification precision and robust.
    仿真结果表明 ,改进的遗传算法辨识系统参数收敛到全局最优 ,且速度快 ,精度高 ,鲁棒性强。
短句来源
    To overcome the defect that K2 algorithm requires the suitable order of nodes in advance while dealing with the structure learning of Bayesian Network Classifier (BNC), the algorithm GA-K2 is proposed which introduces the integer coding genetic algorithm based on selective ensemble concept to K2. It provides the guarantee of getting the best order of nodes and the convergence of Bayesian network structure for K2 in global optimization.
    为克服K2算法在处理贝叶斯网络分类器(BayesianNetworkClassifier,BNC)结构学习中要求先指定适合节点次序的缺点,提出GA-K2算法,将基于选择性集成的整数编码遗传算法引入到K2算法中,使之能得到最佳节点次序并且网络结构收敛到全局最优.
短句来源
    By concretely integrating various algorithms and numerically testing to typic optimization problems sample, we see that being a class of valid integrated intelligent optimization algorithms, the IMHGNIOA can high efficiently get global optimization solutions and this integration method in the dissertation is accurate.
    经过对不同算法的具体集成和典型算例的数值实验,说明IMHGNIOA类算法能够高效率地获得全局最优解,是一种有效的智能优化集成算法,同时也验证了本文集成方法的正确性。
短句来源
    In the HGA+BP hybrid optimization strategy, BP operation is introduced into HGA algorithm. So it makes full use of the global optimization of GA to search the possible extremum area in a large scope and it uses BP to fast search near the extremum point. At the same time, the structure of network can be optimized because of hierarchical coding.
    在HGA+BP混合优化策略中,通过在HGA算法中融入BP操作可以在对网络结构进行优化的同时,充分利用GA的全局寻优能力在大范围内搜索可能的极值区域,并利用BP算法沿误差最速下降方向在极值点附近快速搜索,从而达到全局最优和快速搜索的有机结合。
短句来源
更多       
  global optimum
    From Local Minimum to Global Optimum
    从局部极小到全局最优
短句来源
    As the realization of structure risk minimization, support vector machine (SVM) has the advantages of global optimum, simple structure, and good generalization property.
    作为结构风险最小化准则的具体实现,支持向量机具有全局最优、结构简单、推广能力强等优点,近几年得到了广泛的研究。
短句来源
    The experiment results show that CGA can get global optimum solution more efficiently and has higher convergence rate compared with Standard Genetic Algorithm (SGA).
    实验结果表明,与标准遗传算法(SGA)相比,该算法能更有效地求得全局最优解,具有更快的收敛速度。
短句来源
    In the application,the global optimum solution can be obtained and the fine plant classification can be implemented without any prior information when the proposed algorithm is applied to the push-broom hyperspectral technique imager(PHI) data.
    在应用分析中,将该算法应用于推扫式高光谱成像仪(PHI,Push-broom Hyperspectral technique Imager)数据地物分类能够获得全局最优解,在没有先验信息情况下实现地物的精细分类;
短句来源
    Three-Layer Feed Forward Artificial Neural Network Global Optimum Approach
    三层前向人工神经网络全局最优逼近
短句来源
更多       
  global optimal
    The support vector machines, which characterizes a simple model structure, good generalization, global optimal solution etc. , has been applied in the intelligent control. The current research includes SVMR modeling and prediction of nonlinear times serial, system identification, optimal control, learning control, predict control etc.
    支持向量机以其模型结构简单、较好的推广能力和全局最优解等特点已经被用来进行智能控制的研究,主要包括采用支持向量机回归的非线性时间序列的建模与预测、系统辨识等建模方面的研究以及优化控制、学习控制和预测控制等方面的研究以及采用支持向量机的故障诊断的研究。
短句来源
    In order to enhance the global optimal search ability of AIA in solving multi-modal function optimization problem, based on mechanism of immune theory and genetic algorithm, a function "stretching" technique is introduced to obtain stretching immune genetic algorithm (SIGA).
    为提高人工免疫算法(AIA)对复杂多模态函数优化问题的全局最优解搜索能力,本文在免疫原理和遗传算法机制的基础上引入“Stretching”技术设计了拉伸免疫遗传算法(SIGA)。
    Global Optimal Robust Controller Design
    全局最优鲁棒控制器设计
短句来源
    Taking aim at the problem that factor related to flexible assembly cell planning is complex, an approach of searching the global optimal solution with genetic algorithm is explored.
    并针对柔性装配系统中柔性装配单元规划涉及因素较为复杂的问题 ,探索了应用改进遗传算法求解柔性装配单元规划中全局最优解的方法。
短句来源
    Using the genetic algorithm (GA) to tune and optimize the PID parameters is a method for searching the global optimal resolution, which is independent of initial condition.
    PID参数整定与优化一直是自动控制领域研究的重要问题。 采用遗传算法进行PID参数整定与优化是一种寻求全局最优且与初始条件无关的优化方法。
短句来源
更多       
  globally optimal
    Globally Optimal Weighted Measurement Fusion White Noise Deconvolution Estimator for Time-varying Systems
    时变系统全局最优加权观测融合白噪声反卷积估值器
    An optimization algorithm based on genetic algorithm for parameters of synergetic neural network was proposed, which searched the optimal solutions in the parameters space of synergetic neural network using the globally optimal searching ability of genetic algorithm.
    提出了一种基于遗传算法的协同神经网络中参数的优化算法 ,该算法利用遗传算法的全局最优搜索能力 ,在协同神经网络的参数空间搜索最优解 .
短句来源
    Assuming that each sensor has the same measurenment matrix,compared with the centralized measurement fusion method,the weighted measurement fusion method not only it give the globally optimal estimation, but also it can obviously reduce the computational burden, so that it is suitable for real time applications.
    在各传感器具有相同的观测阵的前提下,加权观测融合方法同集中式观测融合方法相比,不仅可获得全局最优融合估计,而且不增加观测向量的维数,可明显减小计算负担,便于实时应用。
短句来源
    Compared with the centralized measurement fusion method, by the weighted measurement fusion method, not only the globally optimal estimation can be obtained, but also the computational burden can obviously be reduced and it is suitable for real time applications.
    同集中观测融合方法相比,加权观测融合方法不仅可获得全局最优估计,而且明显减小计算负担,便于实时应用。
短句来源
    The performance analysis of the algorithms proves that its convergent speed are improved,and the better globally optimal solutions are achieved.
    进一步算法性能分析证明了论文中所设计的改进的算法不仅能增强算法的全局收敛性,还能加快遗传进化速度,得到较为满意的全局最优解。
短句来源
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  global optimization
Filled functions for unconstrained global optimization
      
The paper is concerned with the filled functions for global optimization of a continuous function of several variables.
      
To improve the efficiency of the branch-and-bound technique, some heuristic principles were proposed to cut those branches that may generate a global optimization solution with low probability.
      
On the basis of the inherent distribution within the immune response, the global optimization of the antibody was realized through parallel local optimization.
      
The possibility of using heat conductivity equation with a simple boundary layer for global optimization is investigated.
      
更多          
  global optimum
However, the current layer optimization approach to power allocation cannot achieve the global optimum of the overall system performance.
      
Basing upon the frame of multi-level optimization, the intelligent agent technique was adopted to search for global optimum.
      
After a brief introduction of the subject, the paper focusses on the first step in any optimization procedure: the delineation of the parameter space, wherein the global optimum is to be found.
      
Finding the best possible conditions (the global optimum) is very difficult for chromatographers in practice.
      
By performing a set of nine pre-planned experiments conducted over the maximum working range for the system, global optimum separation conditions could be determined.
      
更多          
  global optimal
Experimental results have shown that a global optimal solution can be quickly obtained using the proposed method and the precision requirement for target location is satisfied.
      
In addition, considering the non-convex and non-concave nature of the sub-problem of combinational optimization, the branch-and-bound technique was adopted to obtain or approximate a global optimal solution.
      
To speed up the search process and guarantee a global optimal result, the extended compact genetic algorithm (ECGA) is used to carry out the search process.
      
These schemes are based on a unified theoretical base-sufficient conditions for the global optimal known in optimal control theory.
      
2D and 3D ASMs are combined to obtain a "global optimal" segmentation of the 3D object embedded in the data set, rather than the "locally optimal" segmentation on separate slices.
      
更多          
  globally optimal
Necessary and sufficient global optimality conditions are proved for problems in which the Pontryagin and Bellman maximum principles do not distinguish between locally and globally optimal processes.
      
Since pseudo-Gray coding is of combinatorial optimization problems which are NP-complete problems, globally optimal solutions are generally impossible.
      
MATLAB-based simulation results showed that POCC can approach the globally optimal solution.
      
Globally optimal quadratic Lyapunov functions for robust stability of systems with structured uncertainty
      
Unlike the conventional neural network, the ACCLN has rich range and flexible dynamics, so that it can be expected to have higher ability of searching for globally optimal or near-optimum results.
      
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