-
sixphase-pmsm
六相永磁电机dq0建模方法,内含电压方程模块,磁链模块,转矩模块等(modeling sixphase pmsm based on dq0)
- 2011-04-20 15:50:07下载
- 积分:1
-
magg
optimization program
- 2012-04-23 20:25:30下载
- 积分:1
-
aTSPmatlabn
matlab蚁群算法法,要使用城市坐标的版本
(For matlab ant colony algorithm method, you want to use the version of the city coordinates)
- 2012-08-05 15:03:25下载
- 积分:1
-
mrics
代码的mrics。M’是从他们的傅立叶系数的一个子集,使用总变分正则化图像重建的分裂Bregman方法的实现。使用代码指令可以在文件“mrics顶在评论中发现。”。一个演示脚本也包括在内,显示正确的使用方法。(The code ‘mrics.m’ is an implementation of the Split Bregman method for reconstructing images a subset of their Fourier coefficients using total-variation regularization. Instructions for use of the code can be found in the comments at the top of the file “mrics.m”. A demo script is also included that demonstrates proper use of the method.)
- 2014-10-03 09:52:45下载
- 积分:1
-
MATlabIterative-simulation
进行迭代仿真,实现耦合方程的求解。通过有限次的迭代,来实现无穷次的仿真。(Iterative simulation, to solve the coupling equations。Through the finite iteration, to realize the simulation of infinite time.)
- 2013-05-09 22:13:52下载
- 积分:1
-
matlab
说明: 蚁群算法路径优化,MATLAB环境下的PATH 最短路径仿真代码。(MATLAB , PATH OPTIMIZATION,MAX)
- 2011-03-12 14:28:43下载
- 积分:1
-
code
ai prolog examples
ai prolog examples
ai prolog examples
ai prolog examples
ai prolog examples
(ai prolog examples)
- 2013-11-14 20:26:39下载
- 积分:1
-
Two-dimensional-matlab-simulation
二维TE波圆柱FDTD的MATLAB仿真(Two dimensional TE wave cylindrical matlab simulation)
- 2014-01-17 20:47:11下载
- 积分:1
-
matlab
聚类算法,不是分类算法。分类算法是给一个数据,然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据,然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类,是事先给出原始数据所含的类数,然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn},这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)
- 2014-02-18 09:59:02下载
- 积分:1
-
ss
说明: matlab source code for modulation
- 2010-07-28 13:56:26下载
- 积分:1