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CA
说明: CA算法可以将数量型属性划分成若干个优化的区间,它综合了分层聚类于划分聚类的优点,对于给定的不同的初始类个数,CA算法能随着迭代过程的不断进展改变类的数目,一些竞争力差的类即类的基数小于给定阙值的类将在迭代过程中不断消失,最终得到能够有效体现数据实际分布情况的优化聚类个数。(CA algorithm for quantitative attributes can be divided into a number of the interval optimization, hierarchical clustering which combines the advantages of clustering in the division, for a given number of different types of initial, CA algorithm as the iterative process the continuous progress of change in the number of categories, some categories of poor competitiveness of the base type that is less than the value of a given category Que iterative process will continue to disappear and eventually be able to effectively reflect the actual distribution of data to optimize the number of clustering.)
- 2009-05-17 11:02:13下载
- 积分:1
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Crosstalk_f
cross talk canceller matlab
- 2009-06-06 13:22:50下载
- 积分:1
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XO-Neural-Network
XO game using Neural Network
- 2013-04-06 05:10:31下载
- 积分:1
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ActiveFilters
Active Filters model pscad 4.2.1 rar
- 2014-12-16 12:36:43下载
- 积分:1
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MAX-MIN-Ant-System
最大最小蚂蚁系统优化算法求解TSP问题,最优化遍历所有城市。(Max Min ant system optimization algorithm for TSP, optimization through all cities.)
- 2013-11-07 23:55:27下载
- 积分:1
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chap2_06_RLS
利用递推最小二乘法对参数进行辨识,有作图结果(Using the recursive least squares method to identify the parameters, there are mapping results)
- 2017-05-03 16:08:30下载
- 积分:1
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testprog
特别功能测试样例测试程序,为保障有效运行,请注意安装环境软件的版本正确与否(special function test program )
- 2010-10-01 01:43:37下载
- 积分:1
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test1
把自己的程序附加到开机启动,不需要别的东西(fdsafdsafdsafa)
- 2010-02-01 20:31:12下载
- 积分:1
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GA_SVR
基于遗传算法寻优参数的支持向量机算法,使得算法的参数达到全局最优,避免陷入具备最小(Support Vector Machine Algorithms Based on Genetic Algorithms for Optimizing Parameters)
- 2021-01-21 01:18:46下载
- 积分:1
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kijuupzg
基于matlab GUI界面设计,LYYWKyo参数数学方法是部分子空间法,采用了小波去噪的思想,BP神经网络用于函数拟合与模式识别,PnTuuBt条件包含特征值与特征向量的提取、训练样本以及最后的识别,包括主成分分析、因子分析、贝叶斯分析。( Based on matlab GUI interface design, LYYWKyo parameter Mathematics is part of the subspace, Using wavelet denoising thought, BP neural network function fitting and pattern recognition, PnTuuBt condition Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Including principal component analysis, factor analysis, Bayesian analysis.)
- 2016-02-22 20:59:12下载
- 积分:1