文件名称:43680540Classification-MatLab-Toolbox
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 616kb
- 下载次数：
- 0次
- 提 供 者：
- wang****
- 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
利用人工智能算法对数据进行训练，然后模式分类，里面包含支持向量机，聚类，BP网络等许多优秀的算法-The use of artificial intelligence algorithm to training data, and then pattern classification, which includes support vector machines, clustering, BP network algorithm and many other outstanding
相关搜索： BP
分类
人工智能
模式分类
数据
分类
toolbox
人工智能
matlab
支持向量机
classification
toolbox
matlab
BP缃戠粶
BP
matlab
toolbox
分类
人工智能
模式分类
数据
分类
toolbox
人工智能
matlab
支持向量机
classification
toolbox
matlab
BP缃戠粶
BP
matlab
toolbox
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Classification MatLab Toolbox
.............................\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
..............
.............................\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
..............