登录 注册
当前位置:主页 > 资源下载 > 35 > Matlab模式识别工具箱

Matlab模式识别工具箱

  • 更新:2024-10-03 18:37:08
  • 大小:632KB
  • 推荐:★★★★★
  • 来源:网友上传分享
  • 类别:Matlab - 大数据
  • 格式:RAR

资源介绍

模式识别matlab工具箱 \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 .............................\chess.mat .............................\Classification.txt .............................\classification_error.m .............................\classifier.m .............................\classifier.mat .............................\classifier_commands.m .............................\click_points.m .............................\clouds.mat .............................\Competitive_learning.m .............................\Components_without_DF.m .............................\Components_with_DF.m .............................\contents.m .............................\decision_region.m .............................\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 .............................\feature_selection.m .............................\feature_selection.mat .............................\Feature_selection.txt .............................\feature_selection_commands.m .............................\FindParameters.m .............................\FindParameters.mat .............................\FindParametersFunctions.m .............................\find_classes.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 .............................\Interactive_Learning.m .............................\Kohonen_SOFM.m .............................\Koller.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 .............................\Minimum_Cost.m .............................\min_spanning_tree.m .............................\ML.m .............................\ML_diag.m .............................\ML_II.m .............................\multialgorithms.m .............................\multialgorithms.mat .............................\multialgorithms_commands.m .............................\Multivariate_Splines.m .............................\NDDF.m .............................\NearestNeighborEditing.m .............................\Nearest_Neighbor.m .............................\NLPCA.m .............................\None.m .............................\Optimal_Brain_Surgeon.m