文件名称:mathmatic

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 636kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • ke***
  • 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

毕业论文里用到的很多非常实用的统计学代码,找了很多天,里面还有自己写的代码的描述,分享给大家了,-Thesis in a lot of very practical use of statistical code, find a lot of days, which also has its own descr iption of the code written to share for everybody, Ha ha ha
(系统自动生成,下载前可以参看下载内容)

下载文件列表

mathmatic\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_Culling.m

.........\Genetic_Programming.m

.........\Gibbs.m

.........\HDR.m

.........\high_histogram.m

.........\Ho_Kashyap.m

.........\ICA.m

.........\ID3.asv

.........\ID3.m

.........\index(1).htm

.........\index.htm

.........\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

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