Description: 混沌(Chaos),Logistic方程
X(n) = k*X(n-1)*( 1-X(n-1) ),即二次函数
f(x) = k*x(1-x), 选择适当的常数k,选择初始值 x0,迭代计算:
x1=f(x0), x2=f(x1), x3=f(x2),...,
序列{ Xn }的整体"状态",敏感的依赖于常数k和初始值x0, 序列可能收敛,也可能,"乱七八糟"地振荡--产生混沌Chaos!-Chaos (Chaos), the logistic equation X (n) = k* X (n-1)* (1-X (n-1)), that is quadratic function f (x) = k* x (1-x), the election Optional appropriate constants k, the initial value of options x0, iterative calculation : x1 = f (x0), x2 = f (x), x3 = f (x2 ),..., sequence) (Xn the overall "state" sensitive dependence on constants k and initial value x0, convergent sequence may also possible, "mess" to the oscillation-- have Chaotic Chaos! Platform: |
Size: 26624 |
Author:szh |
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Description: 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 Platform: |
Size: 11264 |
Author:abeaqhax |
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Description: 本matlab函数，利用混沌映射不可预测性，遍历性和敏感性，以它们的参数和初始值的优异特性的，实现一个图像加密算法。我们引入了一个新的二维logistics函数。与现有的混沌映射相比，它具有更广泛的范围内混乱，更好的遍历性，混沌性和relativelylow实施成本。为了研究及其应用，我们提出了一个之乱转换（CMT），以有效地改变图像的像素位置。结合2D-logistics与CMT，我们进一步实现图像加密算法。-In this matlab test,we use the chastic s excellent properties of unpredictability, ergodicity and sensitivity to their parameters and initial values, chaotic maps are widely used in security applications. In this paper, we introduce a new two-dimensional Sine Logistic modulation map (2D-SLMM) which is derived the Logistic and Sine maps. Compared with existing chaotic maps,it has the wider chaotic range, better ergodicity, hyperchaotic property and relativelylow implementation cost. To investigate its applications, we propose a chaotic magic trans-form (CMT) to efficiently change the image pixel positions. Combining 2D-SLMM with CMT, we further introduce a new image encryption algorithm. Platform: |
Size: 4852736 |
Author:Knight |
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Description: 多分类学习及神经网络，机器学习相关，基于matlab计算-ex3.m- Octave script that will help step you through part 1
ex3 nn.m- Octave script that will help step you through part 2
ex3data1.mat- Training set of hand-written digits
ex3weights.mat- Initial weights for the neural network exercise
submitWeb.m- Alternative submission script
submit.m- Submission script that sends your solutions to our servers
displayData.m- Function to help visualize the dataset
fmincg.m- Function minimization routine (similar to fminunc)
sigmoid.m- Sigmoid function
[?] lrCostFunction.m- Logistic regression cost function
[?] oneVsAll.m- Train a one-vs-all multi-class classi er
[?] predictOneVsAll.m- Predict using a one-vs-all multi-class classi er
[?] predict.m- Neural network prediction function Platform: |
Size: 7608320 |
Author:张伟强 |
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Search - logistic matlab initial