资源列表
decision_tree
- 决策树算法 java语言实现 内包含测试用例 可以直接导入eclipse运行-decision tree model implemented with java
Fisher
- fisher线性分类器算法，算法实现三维空间中样本中各点的分类情况。-fisher linear classifier algorithm to achieve three-dimensional sample points in the classification.
BP
- BP神经网络故障检测，适合初学者看。包括归一化、反归一化处理，文件保存等功能。-BP neural network fault detection, suitable for beginners to see. Including normalization, anti-normalized, save the file and other functions.
nsga2
- nsga2源程序代码，自己编写的，可以运行，只要把两个头文件加入到库里面就好了。-nsga2 source code, I have written, you can run as long as the two header files inside to the library like.
Reduction
- 基于Pawlak属性重要度的属性约简算法，包含论文算法及C++源代码。-Attribute importance based on Pawlak' s attribute reduction algorithm, including papers algorithm and C++ source code.
stprtool15aug08
- 捷克理工大学Hlavac教授和Franc博士提供的统计模式识别Matlab工具箱的最新版本V2.09，在原有版本基础上进行了一些修改和完善。它包括现有模式识别的大部分方法，比如SVM，PCA，LDA等。我采用其中的SVM方法进行了人体下肢假肢SEMG信号的分类，效果不错。希望能对大家有帮助。-Statistical Pattern Recognition Toolbox for Matlab (C) 1999-2008, Version 2.09. It includs a number of
SOM
- SOM算法，是一个不可多得的程序啊。大家喜欢的话快下啊-SOM algorithm, is a rare procedure ah. We like it fast under the ah
gentleboost
- Gentleboost，这是一种基于信息融合的机器学习源代码，成功应用于多个工程信息领域。-Gentleboost, which is a fusion-based machine learning source code, successfully applied in various projects in the field of information.
TINYSLAM
- 机器人定位算法tinyslam的c语言实现-Robot localization algorithm tinyslam of c language
bagging-and-boosting-NNE
- 主要是给新手熟悉bagging和boosting算法在虹膜中的运用。-bagging and boosting algorithm in the application of the iris.
MATWORK
- 分别使用遗传算法、Hopfiled神经网络和蚁群算法基于MATLAB实现了TSP问题的近似求解。-COMPARATIVE STUDY AND COMPREHENSIVE EVALUATION OF SEVERAL INTELLIGENT ALGORITHMS FOR SOLVING TSP PROBLEM
DLA
- 内含DLA的matlab代码，以及两篇DLA的原始文章及其在NMF算法中的应用算法的文章。-Includes DLA matlab code, as well as two DLA, the original article in the NMF algorithm algorithm article.