-
STKTest
通过Matlab实现在stk上作战防御的仿真(Stk on combat defense simulation by Matlab)
- 2012-03-29 14:35:02下载
- 积分:1
-
Triangular
基于三角形单元有限元原理,计算桁架系统在外力作用下,各节点位移与单元应变。主程序BLOCKMAT.m,从输入文件中读入结点个数,单元个数,结点荷载个数,受约束边界点数,弹性模量,泊松比,厚度,单元定义数组,结点坐标数组,结点力数组,约束信息数组。输入文件int.txt不同参数代表不同的桁架结构。(on the basis of the principle of triangle finite element calculation truss system under the action of external force, displacement of each node and element strain. MAIN program MAIN. J m, read from input file node number, cell number, number of nodal load, a constrained boundary points, elastic modulus, poisson s ratio, thickness and unit defined array, node coordinate arrays, nodal force array, array constraints information. Input file int. TXT different parameters represent different truss structure.)
- 2013-03-15 16:54:42下载
- 积分:1
-
matlabppt
这是matlab的相关ppt,基本的一些操作和讲解,方便初学者更快的熟悉。(This is related to matlab ppt, and explain some of the basic operations, faster familiar easy for beginners.)
- 2013-11-23 04:04:37下载
- 积分:1
-
poincare
主要用来计算非线性动力学中的混沌和分岔图像,即poincare图和分岔图、相图等(Mainly used to calculate the nonlinear dynamics of chaos and bifurcation images, namely Poincare diagram and bifurcation diagram, phase diagram and so on)
- 2017-09-05 10:16:04下载
- 积分:1
-
ss
说明: MATLAB的感应双馈发电机系统仿真感应双馈发电机系统仿真 (MATLAB induction doubly-fed generator system simulation)
- 2012-03-28 07:15:00下载
- 积分:1
-
C_C
C_C方法,本函数用于求延迟时间tau和时间窗口tw(C_C method, this function is used to find the delay time tau and the time window tw)
- 2014-11-25 15:03:48下载
- 积分:1
-
FUEL_CELL_FILES_matlab_script
说明: 可以画出基本的EIS曲线,但是参数需要根据具体燃料电池变化(Basic EIS curves can be drawn.)
- 2020-06-22 19:40:02下载
- 积分:1
-
contourletoolbox
高频系数融合均采用基于像素点绝对值取大的规则,这里要注意的是,比较的对象是两幅原始图像的像素点的绝对值,而融合后图像的像素点的取值是两幅原始图像像素点绝对值大的那一点的值,也就是说,要取绝对值大的那个点的实际值
- 2010-10-23 20:40:53下载
- 积分:1
-
PLS
pls算法集合,包含表格数据读取,过程变量降维、潜变量的投影方式(pls、pca algorithm)
- 2013-11-08 16:33:59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