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matlaboptionals
说明: matlab 解决最优化问题的教程。在科学研究和工程实践中经常遇到。(matlab solve the optimization problem of the course. In scientific research and engineering are often encountered in practice.)
- 2009-08-19 14:43:29下载
- 积分:1
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ganzhiji
关于感知机的一个神经网络例子,适合初学者 可以下来看看(On a neural network perceptron example, suitable for beginners can be down to see)
- 2010-06-02 22:21:54下载
- 积分:1
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puguji
线 阵 的 MUSIC 谱 估 计 算 法(Linear estimation algorithm of MUSIC spectrum
)
- 2011-10-09 09:49:42下载
- 积分:1
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MatlabandVC
该代码提供了MATLAB与VISUAL C++的接口编程,为MATLAB可视化编程提供了方便(The code provides a MATLAB with VISUAL C++ Interface programming, visual programming for MATLAB provides a convenient)
- 2007-08-13 11:12:07下载
- 积分:1
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matlab_program_2
Matlab实用程序
33-66是:界面设计篇(Matlab Utilities)
- 2009-02-12 16:14:11下载
- 积分:1
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shiyan4
说明: 产生30行16列的矩阵,每一行代表一路信号,产生32路信号,对32路信号解复用(Produce a matrix of 30 rows 16 columns, each row represents one signal, resulting in 32 signals, the signal demultiplexing 32)
- 2011-03-01 09:39:44下载
- 积分:1
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ELM
训练集/测试集产生
load spectra_data.mat
随机产生训练集和测试集
temp = randperm(size(NIR,1))
训练集——50个样本
P_train = NIR(temp(1:50),:)
T_train = octane(temp(1:50),:)
测试集——10个样本
P_test = NIR(temp(51:end),:)
T_test = octane(temp(51:end),:)
N = size(P_test,2)
数据归一化
( Training set/test set generation load spectra_data.mat randomly generated training set and test set temp = randperm (size (NIR, 1)) training set- 50 samples P_train = NIR (temp (1:50) ,:)' T_train = octane (temp (1:50 ),:)' test set- 10 samples P_test = NIR (temp (51: end ),:)' T_test = octane (temp (51 : end ),:)' N = size (P_test, 2) Data Normalization)
- 2011-05-21 16:45:51下载
- 积分:1
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Untitled
Matlab中生成MIF格式的文件,满足Quartus中载入数据需要(Matlab generated MIF file formats to meet the data needs to load Quartus)
- 2011-08-01 13:05:21下载
- 积分:1
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block_tri_markov
It is the implement analysis of the following paper "N. Akar, E.Karasan and C. Raaelli, Fixed point analysis of limited range share per node wavelength conversion in asynchronous
optical packet switching systems. Springerlink, Photonic Network
Communication, Feb., (2009)."
- 2013-01-25 19:29:47下载
- 积分:1
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BP_for_4
使用神经网络实现对函数sin(x1)/x1*sin(x2)/x2的模拟,代码为matlab代码,输入为二维数组,输出为一个数,结果误差为0.225左右,(Using neural networks to function sin (x1) Analog/x1* sin (x2)/x2, the code for matlab code, enter a two-dimensional array, the output is a number, the result error is about 0.225,)
- 2014-11-19 13:06:30下载
- 积分:1