-
M2-Files
有限单元集成刚度程序，用于计算常见单元刚度矩阵及集成。(beamassemble .ect.)
- 2010-07-23 16:50:42下载
- 积分：1
-
002
读写器管理(RM)标准，读写器管理标准的相关说明。(Reader Management (RM) standards, reader management standards for instructions.)
- 2010-01-09 20:28:39下载
- 积分：1
-
radix4FFT
基4FFT的matlab 有定点，浮点等三种算法程序(4FFT matlab)
- 2010-01-29 11:16:14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
-
Scnario1
BER plot for SUI channel 1-6
- 2013-12-11 18:59:34下载
- 积分：1
-
classical PI model
使用一般PI模型拟合非线性曲线，最小二乘法参数辨识，逆模型前馈(The general PI model is used to fit the nonlinear curve, the least square parameter identification, and the inverse model feedforward.)
- 2021-04-10 18:38:59下载
- 积分：1
-
web
说明： 一套非常漂亮实用的图片站源码，以前本人用过的，而且排名很好！(A very nice picture stop source of practical, previously I used, but also a very good position!)
- 2010-03-30 08:54:18下载
- 积分：1
-
Newton_interpolation
Newton interpolation method to calculate the fitting of discrete points
- 2015-04-15 09:59:31下载
- 积分：1
-
matlab
The network weights are adjusted during the online
implementation. The method used is based on the gradient
descent method (GD), which is a simple and fast method for
online adaptation.
- 2013-05-25 04:54:16下载
- 积分：1
-
ofdmbpsk
it is very useful for those students who want to do research in ofdm
- 2010-12-04 13:35:46下载
- 积分：1
