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04218854
IEEE PAPER ON MODULATION
- 2013-03-30 03:08:33下载
- 积分：1
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duffing
说明： duffing振子数值建模,学习仿真，非线性动力学(study duffing Oscillator numerical modeling, learning simulation, nonlinear dynamics)
- 2019-01-14 14:08:40下载
- 积分：1
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rainflowGUI
雨流计数法疲劳计算GUI可视化，包括接触应力和弯曲应力的计算分析(The rain flow count method GUI visual fatigue calculation， including the calculation of contact stress and bending stress analysis)
- 2021-05-07 02:28:36下载
- 积分：1
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UltimateToolBox93
UltimateToolBox93代码、文档、例子(UltimateToolBox93)
- 2009-03-22 12:58:29下载
- 积分：1
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zuotu
数学实验中用matlab完成的画图实验，应用matlab的很多仿真功能(Mathematics experiment with matlab finished drawing experiments, many of the matlab simulation function
)
- 2012-05-11 10:59:28下载
- 积分：1
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Topology_Optimization_a_99_line
Ole Sigmund编写的99行Matlab程序是拓扑优化方面的经典案例。该程序有5个可修改的输入参数：竖直方向网格划分数nely,水平方向网格划分数nelx,保留的材料的体积分数volfrac,惩罚因子penal和滤波器大小rmin。加载方式矩阵F和支承方式fixeddofs也可以分别选取不同的方式或组合。(Ole Sigmund prepared by the 99-line Matlab program is a classic example of topology optimization. The program has five can modify the input parameters: the number of vertical mesh nely, the number of horizontal mesh nelx, keep the volume fraction of material volfrac, penalty factor penal and filter size rmin. Loading mode and the supporting means fixeddofs matrix F can also be selected separately or combined in different ways.)
- 2009-12-29 17:29:20下载
- 积分：1
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20084WANGGONG
说明： 2008年4月网工真题.doc 对各位考生有很大的帮助，希望各位考上(April 2008 Network Engineering 真题. Doc candidates of you very helpful, hope you admitted to)
- 2010-04-25 10:31:52下载
- 积分：1
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matlab_baogao
自己学习matlab时做的课程试验
内容：试验报告和灰度图像的线性非线性展宽(Matlab when you learn to do the pilot courses : the test report and a linear gray-scale image nonlinear wide)
- 2007-04-27 01:00:24下载
- 积分：1
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ACOTSP-1.02
aco tsp algorithm to matlab
- 2012-11-18 06:29:56下载
- 积分：1
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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
