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FitDataToALogisticFunction
在这项工作中所使用的方法是基于一个由大卫阿诺德教程。
http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf
这将运行该Logistic.m带来了图形用户界面。
1。放弃在列的格式文本文件中的x值
2。放弃在山口格式文本文件中的y值
3。的阴谋初始 按钮将绘制的分布
4。 查找适合 按钮,会找到最适合
5。 重置 将删除的情节(虽然我想打扫所有的领域 -没有时间)
5。地下K,糖尿病在下列公式中的值
Ÿ 等于k/(1+进出口(- G *的(十型录)))
6。上证所给出了squred误差之间的拟合函数与实际数据的总和
7。消委会提供的相关合作关系的实际数据拟合功能和效率(The method used in this work is based on a tutorial by David Arnold.
http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf
RUN The Logistic.m this will bring up the GUI.
1. Give the x values on a text file in column format
2. Give the y values on a text file in col format
3. Plot Initial Button will plot the distribution
4. Find Fit button will find the best fit
5. Reset will remove the plot (Although I wanted to clean all the fields- did not have time)
5. K, G, Dm are the values in the following equation
y = K./(1+exp(-G*(x-Dm)))
6. SSE gives the sum of squred error between the fitted function and the actual data
7. CC give the correlation co-efficient between the fitted function and actual data)
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- 积分:1
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thinning
matlab program for thinning an image
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simu
simulacion pendulo matlab y creacion de video
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matlab
在图像匹配过程中,运用matlab语言计算两幅图像的联合信息熵,从而计算交互信息值的源代码。(In the image matching process, using matlab language computing two images combined information entropy, mutual information to calculate the value of the source code.)
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20130905matlabsjwl43
《MATLAB 神经网络43个案例分析》源代码&数据("MATLAB neural network 43 Case Studies" source code)
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DFTX1
频谱分析中,高密度频谱和高分辨率频谱之间的区别(Spectrum analysis, the difference between the spectrum of high-density and high-resolution spectrum)
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w
说明: 这段程序用于实现封闭空间逃生模拟,通过这段程序可以看到在一个封闭空间中,很多人是如何高效逃生的。(This program used to implement analog to escape an enclosed space, you can see through this process in a closed space, a lot of people how to effectively escape.)
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ABEL_PLD_Tips
ABEL PLD编程笔记 ABEL PLD编程笔记 ABEL PLD编程笔记(ABEL PLD programming notes ABEL PLD programming notes ABEL PLD programming notes)
- 2011-01-15 11:23:07下载
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ChannelDistoration
ChannelDistoration.m实现了相同的数字信号分别经过无失真信道、幅度失真信道、相位失真信道和幅、相失真信道时的输出信号畸变情况。(ChannelDistoration.m realized through the same digital signals without distortion channel, amplitude distortion channel, the channel phase and amplitude distortion, phase distortion of the output signal of the channel when the aberration.)
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SMVQ
Matlab for SMVQ
邊緣配對的向量編碼技術
(Matlab for SMVQ
side match vector quantization)
- 2013-04-12 20:16:56下载
- 积分:1