资源列表
svm-toy.SVM 的好工具，分类识别功能强大
- SVM 的好工具，分类识别功能强大，直观,Good tool for SVM, classification powerful, intuitive
DPSO.离散二进制粒子群算法
- 离散二进制粒子群算法 DPSO ,DPSO
jgap_3.2.1_full.开源的用java开发的遗传算法的封装好的工程
- 一个开源的用java开发的遗传算法的封装好的工程，里面有可用的jar文件,An open-source development with java genetic algorithm package good works, which are available jar file
CLIPSOCX.专家系统开发工具CLIPS的OCX控件
- 专家系统开发工具CLIPS的OCX控件，可以嵌入到ＶＢ和ＶＣ中使用,Expert system tool CLIPS the OCX controls, can be embedded into the use of VB and VC
8Puzzle_DFS 人工智能经典问题八数码的深度优先搜索算法实现
- 人工智能经典问题八数码的深度优先搜索算法实现。没有图形界面。-Classic problem of artificial intelligence, eight digital breadth-first search algorithm. No graphical interface.
BP-for-xor 用bp算法解决异或问题
- 用bp算法解决异或问题，学习异或，文件为matlab程序源代码，可以直接运行-XOR with bp algorithm to solve the problem, learning differences or, as the matlab program source code file, you can directly run
FlightControlAlgorithm-analysis 四轴飞行器的算法研究
- 四轴飞行器的算法研究，MK用的比较巧妙，主要是通过实时融合和长期融合。-Algorithm axis aircraft, MK with the more subtle, mainly through the real-time integration and long-term integration.
ID3_Impl ID3算法实现
- ID3算法实现，自己编写的，可以用标准数据集测试-ID3 algorithm, I have written, you can use the standard set of test data
OMP算法：匹配追踪算法
- OMP算法：匹配追踪算法，输入字典和图像，获得图像在字典下的稀疏系数。有部分解释-OMP algorithm: matching pursuit algorithm, the input dictionary and images, access images in the dictionary under the sparse factor. Some explanation
Neural-Networks01 很好的神经网络程序代码
- 一份很好的神经网络程序代码，包括bp\som\hopfield\bolziman\ART神经网络的示例代码。是学习神经网络很好的资料，可举一反三、一举多得。-A good neural network code, including bp \ som \ hopfield \ bolziman \ ART neural network sample code. Learning neural network is very good information, can learn by analo
weka-src weka3.6源代码
- weka3.6源代码，java版本，每个算法都有详细的注释，适合初学者阅读-weka3.6 source code, java version, have detailed notes of each algorithm, suitable for beginners to read yo! ! !
SVM_SteveGunn.rar 支持向量机的程序
- 支持向量机的程序，可以进行分类和回归，效果比神经网络好，没有维数灾难的问题，是比较好的建模方法。,Support vector machine procedures can be carried out the classification and regression, the effect better than the neural network, there is no dimension disaster problem, it is more good modeling metho