文件名称:机器学习Matlab工具箱
- 所属分类:
- matlab例程
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2011-02-08
- 文件大小:
- 634.71kb
- 下载次数:
- 0次
- 提 供 者:
- hexq1024@yahoo.com.cn
- 相关连接:
- 无
- 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
多种机器学习算法,包括ID3、C4.5、BP等
(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 : mitmatlab.rar 列表 mitmatlab\About.bmp mitmatlab\Ada_Boost.m mitmatlab\ADDC.m mitmatlab\AGHC.m mitmatlab\Backpropagation_Batch.m mitmatlab\Backpropagation_CGD.m mitmatlab\Backpropagation_Quickprop.m mitmatlab\Backpropagation_Recurrent.m mitmatlab\Backpropagation_SM.m mitmatlab\Backpropagation_Stochastic.m mitmatlab\Balanced_Winnow.m mitmatlab\Bayesian_Model_Comparison.m mitmatlab\Bhattacharyya.m mitmatlab\BIMSEC.m mitmatlab\C4_5.m mitmatlab\calculate_error.m mitmatlab\calculate_region.m mitmatlab\CART.m mitmatlab\CARTfunctions.m mitmatlab\Cascade_Correlation.m mitmatlab\Chernoff.m mitmatlab\chess.mat mitmatlab\Classification.txt mitmatlab\classification_error.m mitmatlab\classifier.m mitmatlab\classifier.mat mitmatlab\classifier_commands.m mitmatlab\click_points.m mitmatlab\clouds.mat mitmatlab\Competitive_learning.m mitmatlab\Components_without_DF.m mitmatlab\Components_with_DF.m mitmatlab\contents.m mitmatlab\decision_region.m mitmatlab\Deterministic_annealing.m mitmatlab\Deterministic_Boltzmann.m mitmatlab\Deterministic_SA.m mitmatlab\Discrete_Bayes.m mitmatlab\Discriminability.m mitmatlab\DSLVQ.m mitmatlab\EM.m mitmatlab\enter_distributions.m mitmatlab\enter_distributions.mat mitmatlab\enter_distributions_commands.m mitmatlab\feature_selection.m mitmatlab\feature_selection.mat mitmatlab\Feature_selection.txt mitmatlab\feature_selection_commands.m mitmatlab\FindParameters.m mitmatlab\FindParameters.mat mitmatlab\FindParametersFunctions.m mitmatlab\find_classes.m mitmatlab\FishersLinearDiscriminant.m mitmatlab\fuzzy_k_means.m mitmatlab\GaussianParameters.m mitmatlab\GaussianParameters.mat mitmatlab\generate_data_set.m mitmatlab\Genetic_Algorithm.m mitmatlab\Genetic_Culling.m mitmatlab\Genetic_Programming.m mitmatlab\Gibbs.m mitmatlab\HDR.m mitmatlab\high_histogram.m mitmatlab\Ho_Kashyap.m mitmatlab\ICA.m mitmatlab\ID3.m mitmatlab\index(1).htm mitmatlab\index.htm mitmatlab\Infomat.m mitmatlab\Interactive_Learning.m mitmatlab\Kohonen_SOFM.m mitmatlab\Koller.m mitmatlab\k_means.m mitmatlab\Leader_Follower.m mitmatlab\LMS.m mitmatlab\load_file.m mitmatlab\Local_Polynomial.m mitmatlab\LocBoost.m mitmatlab\LocBoostFunctions.m mitmatlab\loglikelihood.m mitmatlab\LS.m mitmatlab\LVQ1.m mitmatlab\LVQ3.m mitmatlab\make_a_draw.m mitmatlab\Marginalization.m mitmatlab\MDS.m mitmatlab\Minimum_Cost.m mitmatlab\min_spanning_tree.m mitmatlab\ML.m mitmatlab\ML_diag.m mitmatlab\ML_II.m mitmatlab\multialgorithms.m mitmatlab\multialgorithms.mat mitmatlab\multialgorithms_commands.m mitmatlab\Multivariate_Splines.m mitmatlab\NDDF.m mitmatlab\NearestNeighborEditing.m mitmatlab\Nearest_Neighbor.m mitmatlab\NLPCA.m mitmatlab\None.m mitmatlab\Optimal_Brain_Surgeon.m mitmatlab\Parzen.m mitmatlab\PCA.m mitmatlab\Perceptron.m mitmatlab\Perceptron_Batch.m mitmatlab\Perceptron_BVI.m mitmatlab\Perceptron_FM.m mitmatlab\Perceptron_VIM.m mitmatlab\plot_process.m mitmatlab\plot_scatter.m mitmatlab\PNN.m mitmatlab\Pocket.m mitmatlab\predict_performance.m mitmatlab\Preprocessing.txt mitmatlab\process_params(1).m mitmatlab\process_params.m mitmatlab\Projection_Pursuit.m mitmatlab\RBF_Network.m mitmatlab\RCE.m mitmatlab\RDA.m mitmatlab\read_algorithms.m mitmatlab\Relaxation_BM.m mitmatlab\Relaxation_SSM.m mitmatlab\seperable.mat mitmatlab\SOHC.m mitmatlab\spiral.mat mitmatlab\start_classify.m mitmatlab\Stochastic_SA.m mitmatlab\Store_Grabbag.m mitmatlab\Stumps.m mitmatlab\SVM.m mitmatlab\User guide.pdf mitmatlab\voronoi_regions.m mitmatlab\Voted_Perceptron.m mitmatlab\XOR.mat mitmatlab\_D=A mitmatlab\_M=A mitmatlab\_N=D mitmatlab\_S=A mitmatlab\Other\Bayesian_Belief_Networks.m mitmatlab\Other\Bayesian_parameter_est.m mitmatlab\Other\Bayes_belief_net.mat mitmatlab\Other\Bottom_Up_Parsing.m mitmatlab\Other\Boyer_Moore_String_Matching.m mitmatlab\Other\contents.m mitmatlab\Other\demo_fun.m mitmatlab\Other\Edit_Distance.m mitmatlab\Other\gradient_descent.m mitmatlab\Other\Grammatical_Inference.m mitmatlab\Other\high_histogram.m mitmatlab\Other\HMM_Backward.m mitmatlab\Other\HMM_Boltzmann.m mitmatlab\Other\HMM_Decoding.m mitmatlab\Other\HMM_Evaluation.m mitmatlab\Other\HMM_Forward.m mitmatlab\Other\HMM_Forward_Backward.m mitmatlab\Other\HMM_generate.m mitmatlab\Other\index.htm mitmatlab\Other\mean_bootstrap.m mitmatlab\Other\mean_jackknife.m mitmatlab\Other\MultipleDiscriminantAnalysis.m mitmatlab\Other\Naive_String_Matching.m mitmatlab\Other\Newton_descent.m mitmatlab\Other\ROCC.m mitmatlab\Other\sample_hmm.mat mitmatlab\Other\Stochastic_Regression.m mitmatlab\Other\sufficient_statistics.m mitmatlab\Other\_D=A mitmatlab\Other\_M=A mitmatlab\Other\_N=D mitmatlab\Other\_S=A mitmatlab\Other mitmatlab\ID3.asv mitmatlab read.txt