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103_rep103

于 2015-01-26 发布 文件大小:72KB
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  fuzzy logic theory solving uncertainties problems

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  • mtlabxianxin
    用来实现纠错码中的仿真程序。调试过,确实是可以用的。包括仿真模型。(error-correcting codes used to achieve the simulation program. Debugging off, it can indeed use. Including the simulation model.)
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    积分:1
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    2010-05-12 15:16:01下载
    积分:1
  • code1
    毕业设计:基于MATLAB的图像复原算法研究的源代码(Graduation: MATLAB-based image restoration algorithm source code)
    2010-07-27 11:56:04下载
    积分:1
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    2014-12-13 13:24:47下载
    积分:1
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    2013-12-12 20:34:31下载
    积分:1
  • PR
    说明:  单相并网逆变器,采用PR控制,能够实现无静差交流电压跟踪(Single phase grid connected, PR control)
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    积分:1
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    2014-04-21 14:59:55下载
    积分:1
  • fs_sup_relieff
    Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R,然后从和R同类的样本中寻找最近邻样本H,称为Near Hit,从和R不同类的样本中寻找最近样本M,称为Near Miss,根据以下规则更新每个特征的权重: 如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离,则说明该特征对区分同类和不同类的最近邻是有益的,则增加该特征的权重;反之,如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离,则说明该特征对区分同类和不同类的最近邻起负面作用,则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules: If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)
    2018-04-17 14:41:55下载
    积分:1
  • 基于K均值的PSO聚类算法 - maijai
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