登录
首页 » matlab » Classification_toolbox

Classification_toolbox

于 2009-01-14 发布 文件大小:359KB
0 262
下载积分: 1 下载次数: 88

代码说明:

  Duda的《模式分类》第二版的配套的Matlab源代码,非常完整(Duda s pattern classification of matching the second edition of the Matlab source code, very complete)

文件列表:

Classification_toolbox

......................\Ada_Boost.m
......................\ADDC.m
......................\AGHC.m
......................\Backpropagation_Batch.m
......................\Backpropagation_CGD.m
......................\Backpropagation_Quickprop.m
......................\Backpropagation_Recurrent.m
......................\Backpropagation_SM.m
......................\Backpropagation_Stochastic.m
......................\Balanced_Winnow.m
......................\Bayesian_Model_Comparison.m
......................\Bhattacharyya.m
......................\BIMSEC.m
......................\C4_5.m
......................\calculate_error.m
......................\calculate_region.m
......................\CART.m
......................\CARTfunctions.m
......................\Cascade_Correlation.m
......................\Chernoff.m
......................\Classification.txt
......................\classification_error.m
......................\classifier.m
......................\classifier.mat
......................\classifier_commands.m
......................\classify_paramteric.m
......................\click_points.m
......................\combinations.m
......................\Competitive_learning.m
......................\Components_without_DF.m
......................\Components_with_DF.m
......................\contents.m
......................\datasets
......................\........\chess.mat
......................\........\clouds.mat
......................\........\DHSchapter10.mat
......................\........\DHSchapter2.mat
......................\........\DHSchapter3.mat
......................\........\DHSchapter4.mat
......................\........\DHSchapter5.mat
......................\........\DHSchapter6.mat
......................\........\DHSchapter7.mat
......................\........\DHSchapter8.mat
......................\........\DHSchapter9.mat
......................\........\DHS_cover.mat
......................\........\four_spiral.mat
......................\........\spiral.mat
......................\........\XOR.mat
......................\Deterministic_annealing.m
......................\Deterministic_Boltzmann.m
......................\Deterministic_SA.m
......................\Discrete_Bayes.m
......................\Discriminability.m
......................\DSLVQ.m
......................\EM.m
......................\enter_distributions.m
......................\enter_distributions.mat
......................\enter_distributions_commands.m
......................\Exhaustive_Feature_Selection.m
......................\feature_selection.m
......................\feature_selection.mat
......................\Feature_selection.txt
......................\feature_selection_commands.m
......................\FindParameters.m
......................\FindParameters.mat
......................\FindParametersFunctions.m
......................\FishersLinearDiscriminant.m
......................\fuzzy_k_means.m
......................\GaussianParameters.m
......................\GaussianParameters.mat
......................\generate_data_set.m
......................\Genetic_Algorithm.m
......................\Genetic_Culling.m
......................\Genetic_Programming.m
......................\Gibbs.m
......................\HDR.m
......................\high_histogram.m
......................\Ho_Kashyap.m
......................\ICA.m
......................\ID3.m
......................\Infomat.m
......................\Information_based_selection.m
......................\Interactive_Learning.m
......................\Kohonen_SOFM.m
......................\k_means.m
......................\Leader_Follower.m
......................\LMS.m
......................\load_file.m
......................\Local_Polynomial.m
......................\LocBoost.m
......................\LocBoostFunctions.m
......................\loglikelihood.m
......................\LS.m
......................\LVQ1.m
......................\LVQ3.m
......................\make_a_draw.m
......................\Marginalization.m
......................\MDS.m

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • beamforming
    说明:  里面包含CAPON、ML、MUSIC、RLS、LMS、循环MUSIC等算法,及算法比较(CAPON、ML、MUSIC、RLS、LMS and Cylic-MUSIC)
    2020-11-17 10:09:40下载
    积分:1
  • classpiddistb2
    说明:   该程序在matlab-simulink环境下执行,名为classpiddistb2.mdl,(经典PID的扰动测试),本人发前期发.m格式文件(NNPIDDistub2.m为神经网络动态pid抗绕程序),本程序为前期程序的比较程序,已发于本人论文,可供借鉴和学习。(The program matlab-simulink environment, implementation, called classpiddistb2.mdl, (classical PID disturbance test), I made pre-made. M format (NNPIDDistub2.m for the neural network dynamic pid anti-around program), this procedure pre- The Comparative procedures have been made in my paper, for reference and learning.)
    2010-04-28 22:08:12下载
    积分:1
  • appendix-C
    金融数量分析基于MATLAB编程中的详细算法实例,非常有用。用于遗传算法工具箱的应用(Financial quantitative analysis based on the MATLAB programming algorithm instance, very useful. Beginners practical)
    2012-06-24 00:14:28下载
    积分:1
  • EEMD
    求解EEMD的工具箱,里面包含EEMD主程序,可以直接调用(Solving the EEMD toolbox, which contains the EEMD main program, you can directly call it)
    2021-03-30 13:49:09下载
    积分:1
  • MissingFormatWidthException
    Missing Format Width Exception extends Illegal Format Exception.
    2014-02-19 10:53:09下载
    积分:1
  • time_model_PLL
    PLL的simulink仿真模型,希望能有用,谢谢大家(PLL in simulink simulation models, hoping to be useful, thank you)
    2010-05-18 15:07:17下载
    积分:1
  • counter_xr0yqc
    无线信道OWzQYJ模型MATLAB仿真程序,实现了SrQGdSB技术下多参数的模拟,最接近物理信道,信道逼近参数接近最小二乘OWzQYJ算法。 (Radio channelOWzQYJ model MATLAB simulation program, to achieve a multi-parameter simulation SrQGdSB technology, the closest physical channel, the channel parameters close to the least square approximation algorithm OWzQYJ )
    2015-12-23 09:05:56下载
    积分:1
  • fisher
    鱼群算法,一种用Matlab实现的鱼群算法。(Fish algorithm, a Matlab algorithm to achieve the fish.)
    2010-06-07 14:53:26下载
    积分:1
  • 常用的小波源
    说明:  本目录存放的小波编码实现的源程序: 打开ezw2.dsw工作区,编译后可在\ezw2\ezw\debug中找到编码可执行程序; 在\ezw2\unezw\debug中找到解码可执行程序。(Wavelet realization of the source coding : Open ezw2.dsw work, compiled in \ ezw2 \ ezw \ debug find executable code; In \ ezw2 \ unezw \ debug find decoder executable.)
    2005-11-12 01:28:31下载
    积分:1
  • MMSELSA
    minimum mean square estimator log spectral amplitude is an anhanced technique of the minimum mean square estimator developed by Ephraih and Malah in 1985.It is used for signal processing by improving the Signal to noise Ratio.
    2010-10-15 00:36:17下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载