详细说明:好不容易才找到,《模式分类》第二版的配套的Matlab源代码,可配套站内的《模式分类》第二版一起使用。-hard to find, "Pattern Classification," the second version of the Matlab supporting source code, can stop supporting the "pattern classification," the use of the second edition.
[skm.rar] - Jankiraman和 Mohinder写的Space-time codes and MIMO systems的源码
[Classification_toolbox.part03.rar] - 《模式分类》第二版的配套的Matlab源代码
[模式分类.rar] - 该程序可以对二维三类样本进行分类,并画出分界面.学习过模式识别的人必看.要学习神经网络的人必看,代码简单,实用性强
[KEIL.rar] - 提供包括硬件、软件在内的高效、低成本的完整嵌入式开发平台及解决方案。典型产品为以386EX CPU为核心的嵌入式网络模块系列,以及相应uCOS操作系统等应用方案。
[细节层次的随机行走.rar] - 游戏的 人工智能
[Classification_toolbox.part04.rar] - 《模式分类》第二版的配套的Matlab源代码
[machinelearning_cn.rar] - 机器学习 机械工业出版社 中文版 卡耐基梅隆大学教材
[Classification_toolbox.part02.rar] - 《模式分类》第二版的配套的Matlab源代码
[Classification_matlab_toolbox.rar] - Classification_matlab_toolbox分类方法工具箱,有界面很直观。
[Patterrecognitionbookandsourcecode.rar] - 模式分类(杜达)(第二版)电子书 及原书中的代码。绝对值得永久收藏。
[Classification_toolbox.part03.rar] - 《模式分类》第二版的配套的Matlab源代码
[模式分类.rar] - 该程序可以对二维三类样本进行分类,并画出分界面.学习过模式识别的人必看.要学习神经网络的人必看,代码简单,实用性强
[KEIL.rar] - 提供包括硬件、软件在内的高效、低成本的完整嵌入式开发平台及解决方案。典型产品为以386EX CPU为核心的嵌入式网络模块系列,以及相应uCOS操作系统等应用方案。
[细节层次的随机行走.rar] - 游戏的 人工智能
[Classification_toolbox.part04.rar] - 《模式分类》第二版的配套的Matlab源代码
[machinelearning_cn.rar] - 机器学习 机械工业出版社 中文版 卡耐基梅隆大学教材
[Classification_toolbox.part02.rar] - 《模式分类》第二版的配套的Matlab源代码
[Classification_matlab_toolbox.rar] - Classification_matlab_toolbox分类方法工具箱,有界面很直观。
[Patterrecognitionbookandsourcecode.rar] - 模式分类(杜达)(第二版)电子书 及原书中的代码。绝对值得永久收藏。
文件列表(点击判断是否您需要的文件):
Classification_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
......................\Classification.txt
......................\classification_error.m
......................\classifier.m
......................\classifier.mat
......................\classifier_commands.m
......................\click_points.m
......................\Competitive_learning.m
......................\Components_without_DF.m
......................\Components_with_DF.m
......................\contents.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
......................\README.txt
Classification_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
......................\Classification.txt
......................\classification_error.m
......................\classifier.m
......................\classifier.mat
......................\classifier_commands.m
......................\click_points.m
......................\Competitive_learning.m
......................\Components_without_DF.m
......................\Components_with_DF.m
......................\contents.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
......................\README.txt