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15
说明: Matlab从入门到精通中所有的源程序。(Matlab from entry to master all of the source.)
- 2009-10-09 01:47:25下载
- 积分:1
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weighted_kmeans
用于实现weighted k-means算法,可以运行(It is used to perform weighted k-means clustering)
- 2010-12-20 14:21:53下载
- 积分:1
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pls
自己编写的偏最小二乘回归模型matlab程序,附带详细的说明。(Matlab partial least squares regression procedures, with detailed instructions.)
- 2021-03-31 11:29:09下载
- 积分:1
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Kalman-filter
这是一本详细描述滤波方法的书籍,同时书中给出了详细的matlab实现,具有很好的实际应用价值(This is a detailed description of the filtering method of the book, the book also gives detailed matlab implementation, has good practical value)
- 2011-05-31 11:20:12下载
- 积分:1
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projection1
自适应滤波的很多经典算法以及一些新的算法,FAP,APA,FAPA,RLS,LMS,NLMS(Many classical adaptive filtering algorithms as well as some new algorithms, FAP, APA, FAPA, RLS, LMS, NLMS)
- 2021-04-13 09:28:56下载
- 积分:1
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GameofLife
A matlab code which uses a cellular automata code in order to describe Conway s Game of Life
- 2013-03-11 23:30:28下载
- 积分:1
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traindiffevol
TRAINDIFFEVOL(NET,Pd,Tl,Ai,Q,TS,VV) takes these inputs,
NET - Neural network.
Pd - Delayed input vectors.
Tl - Layer target vectors.
Ai - Initial input delay conditions.
Q - Batch size.
TS - Time steps.
VV - Either empty matrix [] or structure of validation vectors.
and returns,
NET - Trained network.
TR - Training record of various values over each epoch:
TR.epoch - Epoch number.
TR.perf - Training performance.
TR.vperf - Validation performance.
TR.tperf - Test performance.
TR.mu - Adaptive mu value.
- 2013-04-22 06:17:04下载
- 积分:1
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Fdtd_1
这时一个电磁场仿真程序,使用Matlab,编写了TM波的二维仿真程序,用FDTD方法(This is a simulation about two-dimensional of TM using the FDTD method)
- 2016-06-16 09:42:51下载
- 积分:1
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flysimulation
基于空间飞行器的姿态仿真源程序,仿真表明非常的准确。(Based on the spacecraft attitude simulation source code, simulation shows that very accurate.)
- 2007-12-11 18:19:13下载
- 积分:1
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invariance
说明: 使用MATLAB计算图形不变矩,输入一个待测图形,并判断其类别,找出数值最大者,即判断为此类别(Calculate invariance using MATLAB, input a tested graph and determine its category, find the greatest value for judging the category)
- 2011-04-14 16:02:29下载
- 积分:1