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matlabtext2
考察温度x对产量y的影响，测得下列10组数据：求y关于x的线性回归方程，检验回归效果是否显著，并预测x=42℃时产量的估值及预测区间（置信度95 ）
示例包含在内(X on the output of the temperature study of the impact of y, measured the following 10 sets of data: for y on x of the linear regression equation to test whether the effect of a significant regression and prediction when x = 42 ℃, and the valuation of yield prediction interval (confidence level 95 ) sample included)
- 2020-12-14 17:49:14下载
- 积分：1
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m2
说明： matlab 基于形状的图像检索算法 关于七个不变矩的主要算法 中 主要体现出 输入输出 的步骤！ ！！！！！！(matlab image retrieval algorithm based on the shape of seven invariant moments on the main algorithm is mainly reflected the input and output of the steps! ! ! ! ! ! !)
- 2010-05-04 14:24:19下载
- 积分：1
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surshrHEDA
基于直方图的分布估计算法matlab源程序，测试函数选用的是30维函数(for h=1:m
for j=1:((x2-x1)/binswidth)
if (x(h)>=x1+(j-1)*binswidth)&(x(h)<x1+j*binswidth)
H(j)=H(j)+1
end
end
end
[wid,len]=size(H)
H=H/(wid*len)
objvalue=sort(objvalue, descend )
for j=1:((x2-x1)/binswidth))
- 2013-03-15 10:44:15下载
- 积分：1
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adaptive-filter
使用自适应滤波器实现未知系统识别，里面包括
RLS法和LMS法(Unknown system using an adaptive filter to achieve recognition, which includes
RLS method and the LMS method)
- 2015-02-19 22:51:47下载
- 积分：1
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moshifenlei-Matlab
模式分类的matlab程序，十二五规划模式识别导论教材答案(
Pattern classification matlab procedures, Twelfth Five Year Plan Introduction textbook answer pattern recognition)
- 2013-11-29 22:53:28下载
- 积分：1
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ssbin2mlab123
This is a m function to import Smartspice binary RAW file into matlab
- 2010-11-18 07:06:27下载
- 积分：1
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fdf3d.m
Matlab FDF 3D reader buil on the Sharon Zhang FDF reader.
- 2009-06-25 21:24:38下载
- 积分：1
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kmeanalgorithm
this code is for k-mean algorithm
- 2011-01-04 13:11:36下载
- 积分：1
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MatlabExampleVer2.0
说明： Agilent 仪器与MATLAB互联，这是Agilent网站提供的参考源码(Agilent instruments and MATLAB Internet, which is Agilent site provides a reference source)
- 2008-11-26 16:58:47下载
- 积分：1
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FCM+Knn
用K均值算法和C模糊算法对sonar数据和iris数据进行分类。
K均值算法是一种很常用的聚类算法，其基本思想是，通过迭代寻找K个聚类的一种划分方法，使得用这K个聚类的均值来代表各类样本是所得到的的总体误差最小。
模糊C均值（FCM）算法在K均值算法的基础上，用模糊子集代替确定子集，从而得到模糊的分类结果，即分类结果的模糊化。(Sonar data and iris data are classified by means of K mean algorithm and C fuzzy algorithm.
The K mean algorithm is a very common clustering algorithm. Its basic idea is to find a partition method of K clustering by iteration, so that the average error of the mean of the K clustering is minimized.
The fuzzy C mean (FCM) algorithm is based on the K mean algorithm. The fuzzy subset is replaced by the fuzzy subset, thus the fuzzy classification result is obtained, that is, the classification result is fuzzed.)
- 2020-11-06 17:59:50下载
- 积分：1
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