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MATLAB
matlab教学课件，适用于matlab初学者，能够快速上手并应用！(matlab courseware for Matlab beginners up to speed quickly and apply!)
- 2012-05-27 11:43:26下载
- 积分：1
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PIMCsample
Monte Carlo Path Integral
for Harmonic and Anharmonic Potential(Monte Carlo Path Integral for Harmonic and Anharmonic Potential)
- 2013-04-07 11:57:38下载
- 积分：1
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xitongbianshi
系统辨识的MATLAB版程序，主要讲辅助变量法的参数辨识(System identification of MATLAB version of procedures, mainly speak auxiliary variable method of parameter identification
)
- 2012-10-13 17:09:50下载
- 积分：1
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Matlab智能算法30个案例分析
说明： Matlab智能算法30个案例分析，详细分析讲解了30个matlab案例(Analysis of 30 cases of Matlab intelligent algorithm)
- 2021-01-10 18:08:50下载
- 积分：1
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run_qrd_lsl
％ because we do not truncate and shift the convolved input
％ sequence, the delay of the desired output sequence wrt
％ the convolved input sequence need only be the delay
％ introduced by the ideal weight vector centred at n=5( Because we do not truncate and shift the convolved input sequence, the delay of the desired output sequence wrt the convolved input sequence need only be the delay introduced by the ideal weight vector centred at n = 5)
- 2007-09-14 11:53:28下载
- 积分：1
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Collaborativefuzzyclusteringmodel
协同模糊聚类建模通过特征选择和协同模糊聚类的模糊建模方法构建T-S模型，并用此模型对数据进行测试。(Collaborative fuzzy clustering modeling and collaboration through the feature selection fuzzy clustering TS fuzzy modeling method to build models and use this model of data for testing.)
- 2009-02-15 19:47:02下载
- 积分：1
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MATLABPROGRAMINGEXAMPLES
MATLAB 编程实例 新手上路必备 让你通过简单的实例深刻理解编程模式和语法规则(MATLAB Programming Example novice road you must have a deep understanding of a simple programming model and example of grammar rules)
- 2010-07-16 10:25:41下载
- 积分：1
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SVM-KM
一个支持向量机的matlab工具箱，具有分类、拟合等功能，希望大家下载研学阿！(a Support Vector Machine Matlab toolbox, with classification, fitting features that you download Studies, A!)
- 2005-04-25 09:43:37下载
- 积分：1
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bizhangrobot
利用人工势场法来进行路径规划，从起点无碰撞地到达目标点。(Path planning based on artificial potential field.)
- 2014-05-04 08:57:24下载
- 积分：1
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@polynomial
VC维理论和结构风险最小化准则是统计学习理论中的重要内容,基于这一理论的支持向量机算法由于具有好的泛化性能受到重视,并被研究用于文本分类问题.基于多项式核的研究工作认为SVM的泛化能力不受多项式阶数的影响,并且能够处理很高维的分类问题,用于文本分类无需进行特征选择.研究发现,随着多项式核阶数的升高,SVM文本分类器会出现过学习现象,并且特征数越多越明显,特征选择是必需的.通过估计函数集的VC维,基于结构风险最小化理论对此问题进行分析,得出的结论跟实验结果相符.
(err)
- 2008-01-08 21:41:08下载
- 积分：1
