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shuxuejianmo_5
说明: (回归分析)
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 )
((Regression analysis) 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 (95 percent confidence level))
- 2009-07-24 23:00:42下载
- 积分:1
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MATLAB-FH
说明: 调频通信matlab,用MATLAB实现一种快跳频通信系统(FM communication matlab, use MATLAB to achieve a fast frequency-hopping communication system)
- 2021-03-22 12:39:16下载
- 积分:1
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C_C
C——C方法计算,用于相空间重构分析,很好很使用的一种方法(C- C method for phase space reconstruction analysis。It is ery good and useful。)
- 2012-04-12 11:31:05下载
- 积分:1
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plotmydata
利用MATLAB编制的绘图程序,对利用自己开发绘图界面很有启发(using MATLAB based mapping procedures, the development of the use of their graphics interface is very enlightening)
- 2007-03-19 22:07:26下载
- 积分:1
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pso
这是一个粒子群算法求解车辆路径的源码,用matlab仿真实现。(This is a particle swarm algorithm for vehicle routing the source, using matlab simulation.)
- 2008-12-11 23:11:21下载
- 积分:1
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mySVM
支持向量机工具箱,由于分类,拟合和概率估计(Support Vector Machine Toolbox, as a result of classification, the estimated probability of fitting and)
- 2008-01-05 13:52:45下载
- 积分:1
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presenttheradialsymmetrydetectorfordetectingspeeds
本文中,我们提出了检测速度标志探测器的径向对称性。我们评估一个内道路车载系统探测器本身。我们也评估其性能,并在我们的道路车辆运行线上证明。(Algorithms for classifying road signs have a high computational cost per pixel processed. A detection stage that
has a lower computational cost can facilitate real-time process-
ing. Various authors have used shape and color-based detectors.
Shape-based detectors have an advantage under variable lighting
conditions and sign deterioration that, although the apparent color
may change, the shape is preserved.)
- 2010-09-19 18:16:03下载
- 积分:1
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zf_mmse
基于迫零(ZF)与MMSE的两种预编码MATLAB程序(Based on zero forcing (ZF) and MMSE precoding two MATLAB programs)
- 2010-11-29 22:02:11下载
- 积分:1
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kmedian
The method works as follows.
1. For a data set with dimensionality, d, compute the variance
of data in each dimension (column).
2. Find the column with maximum variance call it cvmax
and sort it in any order.
3. Divide the data points of cvmax into K subsets, where K is
the desired number of clusters.
4. Find the median of each subset.
5. Use the corresponding data points (vectors) for each
median to initialize the cluster centers.
- 2013-08-10 03:45:31下载
- 积分:1
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60-essential-MATLAB-code
MATLAB必备的60个程序代码!
例如,求解常微分方程等等.(60 essential MATLAB code)
- 2013-05-06 19:19:42下载
- 积分:1