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tabu算法
    THE APPLICATION OF TABU ALGORITHM TO THE OPTIMIZATION OF PERMANENT MAGNET STARTING MOTOR
    TABU 算法在永磁起动机优化设计中的应用
    The representative samples set is taken as the initial set of Tabu algorithm to further maintain. The method only considers the samples at different classes borders when samples are insert into new training set. The principles of deleting or inserting a sample are the higher categorization accuracy principle and the higher similarity with training set principle.
    提出一种基于CURE算法和Tabu算法的训练样本库的裁减方法,采用CURE聚类算法获得每个聚类的代表样本组成新的训练样本集合,然后用Tabu算法对此样本集合进行进一步维护(添加或删除样本),添加样本时只考虑增加不同类交界处的样本,添加或删除样本以分类精度最高、与原始训练样本库距离最近为原则。
    The Application of Tabu Algorithm to the Optimization of Automobile Permanent Magnet Starter Motor
    TABU 算法在永磁起动机电磁场逆问题中的应用
    In this paper, TABU algorithm is successfully applied to the magnetic pole optimization, the validity are testified by the application to the optimization of existing products.
    为此,本文建立了带辅助极永磁起动机磁极优化的数学模型,将全局优化算法—TABU算法应用于这一电磁场逆问题中; 实际应用表明,本文提出的方法是正确、有效的。
    Firstly, Tabu algorithm is detailedly described and then Tabu optimization algorithm is used to design finite wordlength FIR digital filters.
    首先,详细描述了 Tabu算法并给出了计算步骤; 然后将 Tabu算法应用于有限字长 FIR数字滤波器的优化设计;
    This paper will mainly introduce the application of the Tabu algorithm in edge finding.
    本文主要介绍Tabu算法在边界检测中的运用。
 

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