-
FEAPpv-master
说明： 这是一个带有FEAPPV的测试库。有限元分析程序（FEAP）用有限元法求解一般问题。问题大小由每台计算机的主内存量控制。(This is a test repository with FEAPpv. Finite Element Analysis Program - (FEAP) for solution of general problem classes using the finite element method. Problem size is controlled by the amount of main memory in each computer.)
- 2020-06-17 06:00:02下载
- 积分：1
-
BPSKMATLAB
BPSK MATLAB To achieve modulation and demodulation(BPSK MATLAb)
- 2009-12-07 18:17:56下载
- 积分：1
-
自抗扰控制器
说明： 此为韩京清老师的自抗扰仿真程序，含有eso.m、td.m、nlsef.m三个文件(AN AUTOMATIC DISTURBANCE REJECTION SIMULATION PROGRAM FOR TEACHER HAN Jingqing)
- 2019-01-14 19:09:42下载
- 积分：1
-
FEKO-5.3-exmaple
feko入门实例，深入浅出，易于理解，对初学者有很大的帮助(feko entry instance, easy to understand, easy to understand, there is a great help for beginners)
- 2012-06-23 18:51:38下载
- 积分：1
-
ANN调制信号
基于神经网路的六种调制信号识别，备注详细。(Modulated signal identification)
- 2018-09-05 21:27:10下载
- 积分：1
-
ProRaman2F
关于拉曼光谱基线去除的程序,大家可以试试,文章发在了Analyst上,RSC.具体的信息可以从代码里面找到.(This is a programme about Roman spectroscopy, it can be ured for basline eleminated. If you are interesting about it, download it!)
- 2009-11-15 11:16:21下载
- 积分：1
-
matlab.code
精通MATLAB 7 课本代码
读者可根据文件夹名找到相应章节的实例。每章的实例均已经通过了实际调试。(Proficient in MATLAB 7 textbook code)
- 2018-09-20 14:18:09下载
- 积分：1
-
Chapter02
说明： 机器学习第二版书籍源码，文件较大，分章节上传(This is the code repository for Python Machine Learning - Second Edition, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.)
- 2019-03-12 09:39:27下载
- 积分：1
-
mds_ver7.1
这是《Robust control design with matlab》书的源码，对照学习，很有帮助(This collection contains M-files intended for design of the Mass/Damper/Spring control system using the newly available functions from Robust Control Toolbox,version 3. Description of the system and version of the files using functions from mu-toolbox can be found in the book ?Robust Control Design with MATLAB? by Da-Wei Gu, Petko H. Petkov and Mihail M. Konstantinov, Springer-Verlag, London, 2005)
- 2010-07-10 17:48:23下载
- 积分：1
-
随机森林
说明： 随机森林算法与 Bagging 算法类似，均是基于 Bootstrap 方法重采样，产生多个训练集。不同的是，随机森林算法在构建决策树的时候，采用了随机选取分裂属性集的方法
本程序中，将乳腺肿瘤病灶组织的细胞核显微图像的 10 个量化特征作为模型的输入，良性乳腺肿瘤和恶性乳腺肿瘤作为模型的输出。用训练集数据进行随机森林分类器的创建，然后对测试集数据进行仿真测试，最后对测试结果进行分析。(Similar to bagging algorithm, random forest algorithm is based on bootstrap resampling to generate multiple training sets. The difference is that the random forest algorithm uses the method of randomly selecting the split attribute set when constructing the decision tree
In this program, 10 quantitative features of nuclear microscopic image of breast tumor tissue are taken as the input of the model, and the benign and malignant breast tumor are taken as the output of the model. The training set data is used to create the random forest classifier, then the test set data is simulated and the test results are analyzed.)
- 2020-07-05 20:39:15下载
- 积分：1
