-
pso_2D
粒子群优化算法 用与函数求最优值,最大或最(Particle Swarm optimization)
- 2013-01-01 21:34:21下载
- 积分:1
-
SAPSO_SecPSO_SecVibratPSO
用MATLAB实现SAPSO、SecPSO、SecVibratPSO算法,程序没错误,可以直接运行,非常适合刚学PSO者(Implementation of SAPSO, SecPSO, SecVibratPSO algorithm with MATLAB, the program no error, can be directly run, very suitable for just learning PSO
)
- 2013-08-04 12:16:41下载
- 积分:1
-
BPSK
bpsk调制解调 经过高斯白噪声 仿真曲线(bpsk modulation demodulation awgn)
- 2014-12-09 12:03:37下载
- 积分:1
-
cPP
c++ 通用弹道仿真计算程序(经典版) 程序源代码(c++ common trajectory simulation program (classic version) source code)
- 2015-03-04 14:26:40下载
- 积分:1
-
MatlabJYPPT
Matlab讲义高级.rar,PPT课件(Matlab senior notes. Rar, PPT Courseware)
- 2009-01-05 15:48:05下载
- 积分:1
-
ch6
说明: MATLAB 7编程 数字信号处理源代码(MATLAB)
- 2010-04-23 12:02:10下载
- 积分:1
-
jihejiaozheng
人脸几何校正的matlab程序,里面有我配好的人脸,程序好用。(Matlab program of the geometric correction of the face, which I face with a good, easy to use program.)
- 2012-05-14 21:50:16下载
- 积分:1
-
shuzituxiangchuliyujiqishibie
数字图像处理和机器识别C++和matlab识别书籍第三部分,讲解详尽,适合学习(Digital image processing and machine identification C++ and matlab identification books first part, explain the detailed, suitable for learning)
- 2013-10-17 21:58:29下载
- 积分:1
-
Desktop
特徵粹取(feature extraction)是特徵選取(feature selection)的延伸,簡單地說,我們希望將資料群由高維度的空間中投影到低維度的空間,因此,我們必須找出一組基底向量(base)來進行線性座標轉換,使得轉換後的座標,能夠符合某一些特性。
我們可以將特徵粹取分成「包含類別資訊」和「不包含類別資訊」兩大類。包含類別資訊指的是我們已經知道哪些資料分別歸屬於哪一類;而不包含類別資訊的特徵粹取則適用於我們不知道手上的資料點分別該歸屬於哪一類,甚至連該劃分成幾類都不知道的情況。對於這兩大類資料,可以分述如下:
對於「不包含類別資訊」的資料,我們通常使用「主要分量分析」(principal component analysis),簡稱 PCA。 (Cuiqu features (feature extraction) is feature selection (feature selection) extension, simply put, we want to base the projection data the high-dimensional space to low-dimensional space, so we have to find a set of basis vectors ( base) to the linear coordinate conversion, so that after the coordinate conversion, can meet a number of features. We can feature Cuiqu into " category contains information" and " does not contain a category of information," two categories. Contains categories of information refers to what we already know what kind of information are attributed to Cuiqu features include categories of information are not applicable to information we do not know the points are in the hands of the home in which category, and even that is divided into several class do not know the situation. For these two categories of information, can be divided as follows: For information " does not include the categories of information" , we usually use the " )
- 2014-12-18 12:19:30下载
- 积分:1
-
04785259
AN MATLAB DESIGN OF PV ARRAY PAPER
- 2013-05-02 18:30:49下载
- 积分:1