-
ToolboxIGARSS2004
very important
tool box for matlab
- 2010-05-15 22:44:31下载
- 积分:1
-
Read_N_Renix
运用matlab软件进行GPS的N文件读取的matlab源代码(Matlab software using the GPS reading N matlab source code files)
- 2011-09-14 11:06:33下载
- 积分:1
-
EEMD 去噪
说明: MATLAB EEMD的源代码,好用。适合研究对比使用。(Matlab EEMD source code, easy to use. Suitable for research and comparison)
- 2020-11-24 00:59:35下载
- 积分:1
-
rayleighchannel
delta modulation source code
- 2009-03-16 18:07:09下载
- 积分:1
-
f_qujian
simulink的仿真有两个阶段:一个为初始化,这个阶段主要是设置一些参数,像系统的输入输出个数、状态初值、采样时间等;第二个阶段就是运行阶段,这个
阶段里要进行计算输出、更新离散状态、计算连续状态等等,这个阶段需要反复运行,直至结束。(simulink simulation has two phases: one for initialization, this stage is mainly to set some parameters, such as the number of input and output system, initial state, the sampling time second stage is the operational phase, the
Stages to calculate the output, update the discrete state, continuous calculation of the state, etc., this stage requires repeated runs to the end.)
- 2011-08-31 11:15:56下载
- 积分:1
-
LPCC
this is lpcc matlab code
- 2013-09-19 05:38:12下载
- 积分:1
-
8queen
Eight queens Genetic algorithm
- 2011-12-31 00:32:55下载
- 积分:1
-
GUI_04
MATLAB GUI教学视频4:Radio Button Check Box和Toggle Button的基本用法(MATLAB GUI instructional videos 4: Radio Button Check Box and toggle Button' s basic usage)
- 2013-05-14 09:24:17下载
- 积分:1
-
matlab_trm.rar
MATLAB 有约束信赖域算法,以四元多项式为算例
适用于学习最优化算法的数学专业学生以及其他数值分析课程的同学,
程序清晰,对MATLAB的学习也有很大的帮助,同时程序还有一些不足,读者自己须根据实际问题更正。(MATLAB constrained trust region algorithm to quaternion polynomial example for the application of optimization algorithms in the learning of mathematics students, as well as other courses in numerical analysis of the students, the program clearly and learning to MATLAB is also a great help, but the procedure also There are a number of shortcomings, the reader himself to be corrected in accordance with the actual problem.)
- 2009-04-10 16:19:04下载
- 积分:1
-
fs_sup_relieff
Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R,然后从和R同类的样本中寻找最近邻样本H,称为Near Hit,从和R不同类的样本中寻找最近样本M,称为Near Miss,根据以下规则更新每个特征的权重:
如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离,则说明该特征对区分同类和不同类的最近邻是有益的,则增加该特征的权重;反之,如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离,则说明该特征对区分同类和不同类的最近邻起负面作用,则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules:
If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)
- 2018-04-17 14:41:55下载
- 积分:1