SVM--ICA-and-PCA-and-NN SVM, ICA and PCA and NN, a

Title: SVM--ICA-and-PCA-and-NN

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Special Effects
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[Matlab] [源码]
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23kb
Update:
2016-06-13
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李涛

Description: SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value

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SVM  ICA and PCA and NN\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
.......................\find_classes.m
SVM  ICA and PCA and NN

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Filename	Size	Date
SVM	ICA and PCA and NN\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
.......................\find_classes.m
SVM	ICA and PCA and NN