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  1. mopsoGECCO.tar

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  2. The last step in training phase is refinement of the clusters found above. Although DynamicClustering counters all the basic k-means disadvantages, setting the intra-cluster similarity r may require experimentation
  3. 所属分类:数值算法/人工智能

    • 发布日期:2008-10-13
    • 文件大小:40101
    • 提供者:yznushuangyu
  1. mopsoGECCO.tar

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  2. The last step in training phase is refinement of the clusters found above. Although DynamicClustering counters all the basic k-means disadvantages, setting the intra-cluster similarity r may require experimentation
  3. 所属分类:数值算法/人工智能

    • 发布日期:2024-06-03
    • 文件大小:39936
    • 提供者:yznushuangyu
  1. mopsoGECCO

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  2. Multiobjective Particle Swarm with Crowding Distance(多目标优化)-Multiobjective Particle Swarm with Crowding Distance (multi-objective optimization)
  3. 所属分类:微处理器(ARM/PowerPC等)

    • 发布日期:2024-06-03
    • 文件大小:35840
    • 提供者:梅传根
  1. mopsoGECCO

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  2. Adaptive Multi-Objective Particle Swarm Optimizer
  3. 所属分类:人工智能/神经网络/遗传算法

    • 发布日期:2024-06-03
    • 文件大小:40960
    • 提供者:蔡立宗
  1. mopsoGECCO

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  2. 多目标粒子群算法程序,感兴趣的可以进去-Multi-objective particle swarm optimization procedures can be of interest to go look at the
  3. 所属分类:人工智能/神经网络/遗传算法

    • 发布日期:2024-06-03
    • 文件大小:35840
    • 提供者:吴金玲

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