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Untitled2
互相关求时延差的一个程序，通过各种不同方法实现的(Poor cross-correlation order to delay a program through a variety of different methods to achieve)
- 2010-03-02 19:12:32下载
- 积分：1
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Matlab-Chinese-help-documentation
说明： 对MATLAB自带的帮助文档进行汉化，可以更方便的了解MATLAB(MATLAB comes with the help of the finished document, you can more easily understand the MATLAB)
- 2011-03-24 22:07:20下载
- 积分：1
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lsm-rbf
说明： 一种最小二乘法的RBF网络
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radical basis function neural network
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clear all
close all
global sp k w2 b2 unitcenters
alldatanum=400
traindatanum=300
testdatanum=100
sp=8
errorlimit=0.1
u=rand(1,alldatanum+10)
y=zeros(1,alldatanum+10)
for i=4:alldatanum+3
y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+...
y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。(radical basis function neural network
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clear all
close all
global sp k w2 b2 unitcenters
alldatanum=400
traindatanum=300
testdatanum=100
sp=8
errorlimit=0.1
u=rand(1,alldatanum+10)
y=zeros(1,alldatanum+10)
for i=4:alldatanum+3
y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+...
y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。)
- 2011-04-13 10:26:06下载
- 积分：1
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case6ww
matpower4.1相关文件，用于实现matpower仿真，6ww数据信息(matpower4.1 relevant documents for Simulation matpower, 6ww data)
- 2012-10-09 22:12:30下载
- 积分：1
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plot_wavelet_fn
This program can be used for plotting wavelet function.
- 2015-01-14 01:31:11下载
- 积分：1
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MATLAB
奇异值分解及欧式距离计算，两组数据之间的计算(singular and calculate distense)
- 2009-11-18 10:26:57下载
- 积分：1
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matlab_program_for_DS
该程序实现D-S论据的数据融合功能，针对具体问题只需要修改其中的参数即可。(DS arguments to achieve the program s data fusion capabilities, aimed at specific issues which only need to modify the parameter.)
- 2007-12-31 10:44:41下载
- 积分：1
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uwb_antenna
ultra wide band antenna with MATLAB
- 2010-06-10 23:11:00下载
- 积分：1
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cordic_algorithm
CORDIC algorithm - sin cos
- 2010-06-21 15:27:11下载
- 积分：1
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LNCPSO
希望给辛苦科研的人带来一点点帮助--学习因子可以变化的PSO算法，不再是c1=c2=2，粒子进化更加灵活，下面是学习因子同步变化的pso，调用形式为[xm,fv]=LNCPSO(fitness,N,cmax,cmin,w,M,D)(People who want to work hard to bring a little bit of research to help- learning factor can vary PSO algorithm is no longer c1 = c2 = 2, particle evolution is more flexible, learning factor is below synchronous changes pso, calling in the form of [xm, fv] = LNCPSO (fitness, N, cmax, cmin, w, M, D))
- 2013-09-23 19:15:32下载
- 积分：1
