文件名称:TIchinese_A1306

  • 所属分类:
  • 图形/文字识别
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 632kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 李*
  • 相关连接:
  • 下载说明:
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matlab模式识别常用算法 非常全 是个学习的好帮手-matlab pattern recognition algorithm is used to learn the whole is a good helper
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下载文件列表

模式识别matlab工具箱\Classification MatLab Toolbox\About.bmp

....................\.............................\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_

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