文件名称:PR

  • 所属分类:
  • 其它资源
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2008-10-13
  • 文件大小:
  • 354.17kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 王*
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

超全的模式识别Matlab源程序,涉及几乎所有常见算法,还有图形界面,可以图形显示分析结果
(系统自动生成,下载前可以参看下载内容)

下载文件列表

压缩包 : 105230324pr.rar 列表
PR\About.bmp
PR\Ada_Boost.m
PR\ADDC.m
PR\AGHC.m
PR\Backpropagation_Batch.m
PR\Backpropagation_CGD.m
PR\Backpropagation_Quickprop.m
PR\Backpropagation_Recurrent.m
PR\Backpropagation_SM.m
PR\Backpropagation_Stochastic.m
PR\Balanced_Winnow.m
PR\Bayesian_Model_Comparison.m
PR\Bhattacharyya.m
PR\BIMSEC.m
PR\C4_5.m
PR\calculate_error.m
PR\calculate_region.m
PR\CART.m
PR\CARTfunctions.m
PR\Cascade_Correlation.m
PR\Chernoff.m
PR\Classification.txt
PR\classification_error.m
PR\classifier.m
PR\classifier.mat
PR\classifier_commands.m
PR\classify_paramteric.m
PR\click_points.m
PR\combinations.m
PR\Competitive_learning.m
PR\Components_without_DF.m
PR\Components_with_DF.m
PR\contents.m
PR\datasets\chess.mat
PR\datasets\clouds.mat
PR\datasets\DHSchapter10.mat
PR\datasets\DHSchapter2.mat
PR\datasets\DHSchapter3.mat
PR\datasets\DHSchapter4.mat
PR\datasets\DHSchapter5.mat
PR\datasets\DHSchapter6.mat
PR\datasets\DHSchapter7.mat
PR\datasets\DHSchapter8.mat
PR\datasets\DHSchapter9.mat
PR\datasets\DHS_cover.mat
PR\datasets\four_spiral.mat
PR\datasets\spiral.mat
PR\datasets\XOR.mat
PR\datasets
PR\Deterministic_annealing.m
PR\Deterministic_Boltzmann.m
PR\Deterministic_SA.m
PR\Discrete_Bayes.m
PR\Discriminability.m
PR\DSLVQ.m
PR\EM.m
PR\enter_distributions.m
PR\enter_distributions.mat
PR\enter_distributions_commands.m
PR\Exhaustive_Feature_Selection.m
PR\feature_selection.m
PR\feature_selection.mat
PR\Feature_selection.txt
PR\feature_selection_commands.m
PR\FindParameters.m
PR\FindParameters.mat
PR\FindParametersFunctions.m
PR\FishersLinearDiscriminant.m
PR\fuzzy_k_means.m
PR\GaussianParameters.m
PR\GaussianParameters.mat
PR\generate_data_set.m
PR\Genetic_Algorithm.m
PR\Genetic_Culling.m
PR\Genetic_Programming.m
PR\Gibbs.m
PR\HDR.m
PR\high_histogram.m
PR\Ho_Kashyap.m
PR\ICA.m
PR\ID3.m
PR\Infomat.m
PR\Information_based_selection.m
PR\Interactive_Learning.m
PR\Kohonen_SOFM.m
PR\k_means.m
PR\Leader_Follower.m
PR\LMS.m
PR\load_file.m
PR\Local_Polynomial.m
PR\LocBoost.m
PR\LocBoostFunctions.m
PR\loglikelihood.m
PR\LS.m
PR\LVQ1.m
PR\LVQ3.m
PR\make_a_draw.m
PR\Marginalization.m
PR\MDS.m
PR\Minimum_Cost.m
PR\min_spanning_tree.m
PR\ML.m
PR\ML_diag.m
PR\ML_II.m
PR\multialgorithms.m
PR\multialgorithms.mat
PR\multialgorithms_commands.m
PR\MultipleDiscriminantAnalysis.m
PR\Multivariate_Splines.m
PR\NDDF.m
PR\NearestNeighborEditing.m
PR\Nearest_Neighbor.m
PR\NLCA.m
PR\None.m
PR\Optimal_Brain_Surgeon.m
PR\Other\Bayesian_Belief_Networks.m
PR\Other\Bayesian_parameter_est.m
PR\Other\Bayes_belief_net.mat
PR\Other\Bottom_Up_Parsing.m
PR\Other\Boyer_Moore_String_Matching.m
PR\Other\contents.m
PR\Other\demo_fun.m
PR\Other\Edit_Distance.m
PR\Other\gradient_descent.m
PR\Other\Grammatical_Inference.m
PR\Other\high_histogram.m
PR\Other\HMM_Backward.m
PR\Other\HMM_Boltzmann.m
PR\Other\HMM_Decoding.m
PR\Other\HMM_Evaluation.m
PR\Other\HMM_Forward.m
PR\Other\HMM_Forward_Backward.m
PR\Other\HMM_generate.m
PR\Other\mean_bootstrap.m
PR\Other\mean_jackknife.m
PR\Other\Naive_String_Matching.m
PR\Other\Newton_descent.m
PR\Other\ROCC.m
PR\Other\sample_hmm.mat
PR\Other\Stochastic_Regression.m
PR\Other\sufficient_statistics.m
PR\Other
PR\Parzen.m
PR\PCA.m
PR\Perceptron.m
PR\Perceptron_Batch.m
PR\Perceptron_BVI.m
PR\Perceptron_FM.m
PR\Perceptron_VIM.m
PR\Perceptron_Voted.m
PR\plot_process.m
PR\plot_scatter.m
PR\PNN.m
PR\Pocket.m
PR\predict_performance.m
PR\Preprocessing.txt
PR\process_params.m
PR\Projection_Pursuit.m
PR\RBF_Network.m
PR\RCE.m
PR\RDA.m
PR\README.txt
PR\read_algorithms.m
PR\Relaxation_BM.m
PR\Relaxation_SSM.m
PR\Scaling_transform.m
PR\Sequential_Feature_Selection.m
PR\show_algorithms.m
PR\SOHC.m
PR\start_classify.m
PR\Stochastic_SA.m
PR\Store_Grabbag.m
PR\Stumps.m
PR\SVM.m
PR\synthetic.mat
PR\voronoi_regions.m
PR\Whitening_transform.m
PR

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