文件名称:duda

  • 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:
  • 20.47mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

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多达的《模式识别》全部资料,包括课后习题源码,电子书,和PPT。-Up to the " pattern recognition" all information, including after-school exercise source code, books, and PPT.
(系统自动生成,下载前可以参看下载内容)

下载文件列表

duda\patternclassification(2ED)byDuda-Chineseversion-addbookmaks.pdf

....\杜达模式识别配套matlab原码\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

....\..........................\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

....

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