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gibbsmotifsampler
Finds motifs and the optimum width via Gibbs sampling. No toolboxes required.
- 2010-06-13 23:13:28下载
- 积分：1
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origenal_transformation
code for origenal transformation
- 2010-01-04 20:31:23下载
- 积分：1
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power-flow
说明： 基于内点法的配电网潮流计算，收敛精度同牛顿二阶法，不同之处在于它可以处理大规模潮流计算，而牛顿法不行。(power flow of distributiion network)
- 2011-03-10 09:24:43下载
- 积分：1
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UF_Googlemat
Matlab Implementation of Standard PageRank method on sampled SNAP Google dataset.
- 2014-11-23 02:18:24下载
- 积分：1
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frequency_extrapolated_method
说明： 中间的程序是外推程序,.........
但是下面的程序仿真部分和外推部分的标号有写出入,因为不是同一时期编的
请大家注意：
程序中用的是频域外推法，在葛德彪的书中有详细的介绍。(Central procedure is the extrapolation procedure ,......... but some of the following procedures for simulation and extrapolation part of the labeling has to write out, because they are not made during the same period the U.S. Please Note: The procedure used is the frequency of extra-territorial extrapolation method, in the GE De-biao book has a detailed introduction.)
- 2008-08-29 10:10:08下载
- 积分：1
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radarsystem2
discusses the Radar Cross Section (RCS). RCS dependency on aspect angle, frequency, and polarization are discussed.(discusses the Radar Cross Section (RCS). R CS dependency on aspect angle, frequency, and polarization are discussed.)
- 2006-11-22 11:38:59下载
- 积分：1
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beibao
这是背包问题的程序，用matlab实现，背包问题是NP完全问题(This is the knapsack problem program, using matlab , knapsack problem is a a NP-complete problem)
- 2013-10-11 16:52:55下载
- 积分：1
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fuzzypid_v2
一个关于模糊PID的MATLAB仿真程序。用FIS工具箱来实现的.(failed to translate)
- 2010-06-02 16:51:59下载
- 积分：1
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kftool_matlab
kalamn filtering using matlab
extended kalamn filter
- 2013-05-25 09:01:27下载
- 积分：1
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基于PCA的SVM分类
选择“BreastCancer”数据集，使用支持向量机(SVM)对其进行分类。作为对比，第一次对特征集直接进行支持向量机分类，第二次对特征集进行主成分分析法的特征提取后，再对特征提取后的特征集进行支持向量机分类。并且对比和分析了两次分类的结果。(The BreastCancer data set is selected and classified by Support Vector Machine (SVM). For comparison, the first time the feature set is classified directly by support vector machine, the second time the feature set is extracted by principal component analysis, and then the feature set is classified by support vector machine. The results of the two classifications are compared and analyzed.)
- 2020-06-20 10:20:02下载
- 积分：1
