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p85
vector classification using prototypes and a targets with neuronal networks
- 2011-05-20 01:14:57下载
- 积分：1
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rosemap
海洋方面用来画风速玫瑰图的matlab程序。(Marine areas used to draw wind rose diagram of the matlab program.)
- 2011-09-20 10:46:40下载
- 积分：1
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Advanced_Dynamics
matlab中用于解决高等动力学hamilton系统的相关程序(matlab used to solve the system of higher hamilton dynamics related procedures)
- 2007-10-08 21:27:50下载
- 积分：1
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RoutingWithCorrelationv5
A new multi hop routing scheme for athlete monitoring using wban
- 2009-12-07 02:57:43下载
- 积分：1
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MATLAB
运用MATLAB编程实现计算两序列x1(n)={1,2,3,4,5},x2(n)={1,2,3,4,5,4,3,2,1}的圆周卷积(Calculated using MATLAB programming to achieve the two sequences x1 (n) = (1,2,3,4,5), x2 (n) = (1,2,3,4,5,4,3,2,1) of circular convolution)
- 2009-06-17 12:54:05下载
- 积分：1
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simple-inpainting
simple image inpainting using low pass filter. The file removes red text for the image.
- 2013-10-02 08:31:39下载
- 积分：1
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CascadeTrainGUI
matlab 代码 ，用来训练cascade的分类器(matlab code ,used for train a cascade classifier)
- 2014-12-10 20:38:52下载
- 积分：1
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matab-code-quantum-pso-algorithm
The quantum particle swarm optimization (QPSO) applies the quantum computing theory to particle swarm optimization, and thus has the advantages of both quantum computing theory and particle swarm optimization, so it has a faster convergence rate and a more accurate convergence value.
- 2021-03-18 10:49:20下载
- 积分：1
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nntest6
function nntest6(action,flag)
NNTEST6 View and Control Neural network.
See also SIMUFF.
Koos j. den Oudsten, 1-20-99
koos@phil.uu.nl
Copyright (c) 1998-99 by KoosSoft vof
$Revision: 0.4 $ $Date: 1999/01/27 22:29:28 $
global Xx w1 b1 w2 b2 hidden mlp
if nargin < 1
action = start
end
On recursive calls get all necessary handles and data.
if ~strcmp(action, start )
childList = allchild(0)
nn_fig = childList(find(childList == gcf))
ud = gco
popupvalue = get(ud.popup, Value )
- 2010-03-04 17:12:54下载
- 积分：1
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SINS-SAR
捷联惯导和合成孔径雷达组合导航程序，地理坐标系下的(SINS integrated navigation and synthetic aperture radar program, geographic coordinates of the)
- 2009-09-23 19:24:48下载
- 积分：1
