搜索资源列表
深度学习matlab源码
- 用Matlab实现的深度学习程序,值得下载应用(Using Matlab to achieve the depth of learning procedures)
ELM_MultiOutputRegression
- 黄广斌官网下载,多输出回归问题的程序,可做参考(extrem learnig machine multiouptut regression)
chapter2
- 简单的只能算法,书上的,我自己下载的,,,,,(Simple only algorithms, books, I downloaded)
数据挖掘概念与技术
- 关于数据挖掘的详细介绍,比较有用,可以下载观看学习(a useful pdf about Data mining)
Class_1_Code
- 遗传算法需要下载的留下资源和邮箱,是从事程序开发、维护的专业人员的帮助(The genetic algorithm needs to download the resources and the mailbox, which is engaged in the development of the program, the maintenance of professional help)
精通MATLAB神经网络代码
- 《精通MATLAB神经网络》的全部源码,强烈推荐初学者下载学习("Proficient in MATLAB neural network" source code)
微粒群工具箱pso
- pso算法工具箱,使用pso算法处理问题的各种源码,推荐下载(PSO algorithm toolbox, the use of PSO algorithm to deal with the problem of various source code, recommended download)
Financial_Toolbox24
- pso算法对pid控制的优化方法,简单易懂,十分推荐下载(PSO algorithm on the optimization method, PID control is simple and easy to understand, is recommended to download)
卡尔曼滤波MATLAB仿真
- 在MATLAB仿真软件中实现卡尔曼滤波器,包含一些示例与案例,可供需要卡尔曼滤波的下载( The Kalman Filter is an estimator for what is called the linear-quadratic problem, which is the problem of estimating the instantaneous "state".)
Deep-learning
- 深度学习与机器学习经典之作,欢迎大家下载越读~~~~(Deep learning and machine learning)
深度学习 21天实战Caffe
- 深度学习caffe框架学习,适合新手入门 下载后如果解压不成功,将后缀改为.7z再次解压即可(Deep learning caffe framework learning, suitable for beginners)
fcm
- 模糊聚类识别,用于模式识别,这个是从互联网下载的(Fuzzy clustering recognition, used for pattern recognition, this is downloaded from the Internet)
20170911104947396
- delphi抓取网页源码 很好的源码 值得下载(asdhdsajaososadidsauidsauiodsuaiosaduioasduiosaduoisaduio)
716926
- 很好的存储器演示算法,欢迎大家下载使用,谢谢合作()
282182
- 本文给出KMP算法的C++源代码 很好用的 直接下载后就能用()
jxmanticsprocesssconstraint
- 本程序实现了红黑树的插入,删除等算法,学习红黑树的可以下载看看,很有价值哦!()
kmkuv
- 查找第k小元素算法的实现,很实用的一个算法程序,欢迎大家下载()
EDQMDXW0
- 着是一个关于哈夫漫算法的c++程序 如果有兴趣 请下载()
through-rpise
- 解决物理上的数值计算问题,能够运行,可以下载,希望共同分享()
SCE_UA_VB
- SCEUA算法的vb版本,搜罗了那么久终于获得。算法本身在03年左右就有了,但是vb版本直到今日才搜寻到。略有过时,但是也不错。 算法本身未作测试,谨慎下载。(The VB version of the SCEUA algorithm has been finally obtained for so long. The algorithm itself was in about 03 years or so, but the VB version did not search until to