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antenna_design
Antennas Design in matlab.
- 2009-04-02 02:25:06下载
- 积分：1
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surf2stl
将MATLAB中绘制的二维曲面导出为stp格式，以在机械软件中打开进行操作(export a surface plotted in matlab and create a stp file, so that the surface can be opened in solidworks, proE, etc)
- 2016-04-08 10:39:16下载
- 积分：1
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ddca
OFDM技术做为4G的关键传输技术，得到了广泛重视。本matlab文件为适合于OFDM系统的动态子载波分配算法。目的是提高频谱使用效率。(dynamic sub-carrier allocation(matlab))
- 2010-09-02 19:25:21下载
- 积分：1
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k-means
segmentation is done by k-means algorithm
- 2011-02-09 21:11:40下载
- 积分：1
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The-mode-calculate-of-damage-beam
该程序主要用于损伤梁的模态计算，包括特征多项式和计算的详细过程。(The program is mainly used for the modal calculation of the damaged beams, including the characteristic polynomial and computing process.)
- 2012-05-24 21:20:32下载
- 积分：1
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zipeaks
Matlab source code for engineer
- 2010-07-21 00:26:51下载
- 积分：1
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ds-cdma-matlab
CDMA程序，包括DS扩频等，个人觉得还不错。(CDMA procedures, including the DS spread spectrum, etc., individuals feel good.)
- 2010-12-03 20:50:31下载
- 积分：1
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synchronization_base_event
利用platformbuild编译调试，介绍的是用事件消息处理同步事件的程序(Use platformbuild compiler debugging, the introduction is a synchronous event message handling procedures for incident)
- 2008-07-31 13:10:53下载
- 积分：1
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669703566
本代码为基于模糊RBF辨识的自适应PID控制，比较常规PID具有很明显优势控制效果。(The code for identification based on fuzzy adaptive PID control of RBF, compared with the obvious advantage of conventional PID control performance.)
- 2010-05-19 21:10:06下载
- 积分：1
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shenjingwangluo
T=[1 0 0 1 0 0 1 0 0
0 1 0 0 1 0 0 1 0
0 0 1 0 0 1 0 0 1]
输入向量的最大值和最小值
threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1]
net=newff(threshold,[31 3],{ tansig , logsig }, trainlm )
训练次数为1000，训练目标为0.01，学习速率为0.1
net.trainParam.epochs=1000
net.trainParam.goal=0.01
LP.lr=0.1
net = train(net,P,T)
测试数据，和训练数据不一致
P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319
0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )
- 2011-05-21 16:47:44下载
- 积分：1
