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select best中文是什么意思

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  • But , pso convergence ' s speed become slow in latter iterative phase , and pso is easy to fall into local optimization . at present , some scholars improve base pso mostly using 3 methods : disperse algorithm , increase convergence speed , enhance particle ' kinds . in the paper , i put forward 2 methods aiming at local best resutl but not whole best result . i modify base pso using the last method . some scholars put forward times initializations , so i select best result after circulating some times to be a parameter of formula . first , put particle into some small region , and ensure every region having one paticle at least . second , every region ' s particle has probability transfer other regions . although increase running time , enhance particle ' kinds , decrese the probability of convergence far from whole best result . nerms ( network educational resource management system ) is one of the research projects in the science and technology development planning of jilin province . the aim of nerms is to organize and manage various twelve kinds of network educational resources effectively so that people can share and gain them easily and efficiently , so as to quicken the development of network education
    但粒子群算法仍存在如下不足:首先在多峰的情况下,粒子群有可能错过全局最优解,远离最优解的空间,最终得到局部最优解;其次在算法收敛的情况下,由于所有的粒子都向最优解的方向群游,所有的粒子趋向同一,失去了粒子间解的多样性,使得后期的收敛速度明显变慢,同时算法收敛到一定精度时,算法无法继续优化,本文对原始粒子群算法提出了二点改进方案: 1 .算法迭代到一定代数后,把此时找到的全局最优解当作速度更新公式的另一参数(本文称之为阶段最优解)再进行迭代; 2 .每次迭代过程中除最优解以外的每个粒子都有一定概率“变异”到一个步长以外的区域,其中“变异”的粒子在每一维上都随机生成一个步长。
  • This algorithm adopts a middle ground between centroid - base and all - points - based approaches . instead of using a single centroid or all points to represent a cluster , a fixed number of representative points in space are chosen , these points represent and capture the geometry and shape of the cluster . in addition . the representative points of a cluster are generated by first selecting well - scattered objects for the cluster and then " shrinking " or moving them toward the cluster center by a specified fraction , or shrinking factor . the shrinking helps dampen the effects of outliers . therefore , cure is more robust to outliers
    该算法选择基于质心利基于代表对象方法之间的中间策略,它不用单个质心或簇中全部对象米代表一个簇,而是选择数据空间中定数目的只有代表性的点,这些点代表和捕捉到了簇的形状。此外,由于引入了收缩因子使代表点向簇小心“收缩”而使该算法能够较好地消除孤立点的影响,在处理孤立点上也更加健壮。
  • Classification and regression trees processing part introduces growing algorithm of cart , pruning algorithm of cart and selecting best tree algorithm etc . on the basis of the concerned new model , the thesis presents in details the designing of multi - rules neural network based cart system for abnormal customers recognition
    在分类回归树部分,介绍了分类回归树的生长算法、最小代价?复杂性剪枝算法以及最优树选择等算法。提出了系统设计之后,论文详细介绍了该系统的开发,用以解决异动客户的识别问题。
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Last modified time:Tue, 12 Aug 2025 00:29:56 GMT

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