文件名称:Classification_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:
- 667kb
- 下载次数:
- 0次
- 提 供 者:
- Xiaoju******
- 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
用于分类的一个工具箱,内含支持向量机、神经网络、主元分析、多变量样条等方法的matlab源代码,还有用户手册。-A tool for classification, including support vector machines, neural networks, principal component analysis, multivariate methods such as spline matlab source code, as well as user manuals.
相关搜索: 神经网络
分类
神经网络
样条
matlab
支持向量机
Classification_toolbox
Support
Vector
Machines
classification
of
matlab
tool
matfun
matlab
code
neural
networks
支持向量机
分类
分类
神经网络
样条
matlab
支持向量机
Classification_toolbox
Support
Vector
Machines
classification
of
matlab
tool
matfun
matlab
code
neural
networks
支持向量机
分类
(系统自动生成,下载前可以参看下载内容)
下载文件列表
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
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
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
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
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
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
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
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