资源列表
LSDA
- 局部敏感分类分析，注释有使用说明和对应的参考文献！-Local sensitive classification analysis, the Notes are used to explain and the corresponding references!
KGE
- 核图形嵌入，供大家学习交流，注释有使用说明！-Nuclear embedded graphics for them to learn from the exchange of Notes are used to explain!
TensorLGE
- 张量LGE算法入，供大家学习交流，注释有使用说明！-LGE algorithm into the tensor for them to learn from the exchange of Notes are used to explain!
sa_tsp
- 模拟退火求解TSP问题,代码用MATLAB编写的-Simulated Annealing to solve TSP problems, code written with MATLAB
SVM-KM
- 支持向量机的开发软件包,里面有几个例子,很好用的!-Support Vector Machines to develop software packages, there are a few examples of good use!
WINSVMly
- 支持向量机相关软件的帮助文件,希望对大家有用!-Support vector machine software s help files, I hope useful for all of us!
vc-SVM
- 支持向量机的VC++相关源程序代码,希望对大家有用!-SVM VC++ Related source code, useful for all of us hope!
EMDexample
- 经验模式分解的工具箱和相应的应用示例!希望对大家有用!-Empirical mode decomposition of the toolbox and the corresponding application example! Hope useful for all of us!
bianjiegounn
- 有关变结构神经网络的资料,希望对大家有用!-Variable structure neural network-related information useful for all of us hope!
zijibandePSO
- 自已编的PSO(粒子群优化算法)的程序,可以在VC环境运行-Their provision of PSO (Particle Swarm Optimization) process, you can run in VC environment
psoyouhuannyj
- 基于粒子群优化的神经网络训练算法研究论文 摘 要: 本文提出了基于连接结构优化的粒子群优化算法(SPSO) 用于神经网络训练,该算法在训练神经网络权 值的同时优化其连接结构,删除冗余连接,使神经网络获得与模式分类问题匹配的信息处理能力. 经SPSO 训练的神经 网络应用于Iris ,Ionosphere 以及Breast cancer 模式分类问题,能够部分消除冗余分类参数及冗余连接结构对分类性能 的影响. 与BP 算法及遗传算法比较,该算法在提高分类误差精度的同时可加快训
SVMstudy
- 支持向量机学习的经典程序,希望对大家有用-Support vector machine learning classical procedures, in the hope that useful