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: 求离散超混沌系统的自相关和互相关函数，本程序使用的是kawakami超混沌系统-for discrete hyperchaotic system autocorrelation and cross-correlation function, This procedure is used in super-chaotic system kawakami Platform: |
Size: 2048 |
Author:王 |
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Description: 资源分配神经网络解决Mackey-Glass时间序列预测函数逼近问题-Neural network to solve the allocation of resources Mackey-Glass time series prediction function approximation problem Platform: |
Size: 1024 |
Author:吴强 |
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Description: 混沌 函数迭代与一维动力系统 周期3导致混沌
混沌 函数迭代与一维动力系统 周期3导致混沌-Chaos Function Iteration and 3 one-dimensional dynamic systems lead to chaos and a chaotic function iteration cycle of three-dimensional dynamical systems lead to chaos Platform: |
Size: 4014080 |
Author:秦学 |
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Description: matlab程序模拟微分方程。各种流行的系统显示混沌运动特征。-This toolbox contains the functions which can be used to simulate some of the well-known fractional order chaotic systems, such as:
- Chen s system,
- Arneodo s system,
- Genesio-Tesi s system,
- Lorenz s system,
- Newton-Leipnik s system,
- Rossler s system,
- Lotka-Volterra system,
- Duffing s system,
- Van der Pol s oscillator,
- Volta s system,
- Lu s system,
- Liu s system,
- Chua s systems,
- Financial system,
- 3 cells CNN.
The functions numerically compute a solution of the fractional nonlinear differential equations, which describe the chaotic system. Each function returns the state trajectory (attractor) for total simulation time. Platform: |
Size: 16384 |
Author:HM |
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Description: 产生混沌信号并对其进行中心化，计算混沌信号自相关函数-Chaotic signal and to generate centralized its calculated autocorrelation function of chaotic signal Platform: |
Size: 1024 |
Author:申朝阳 |
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Description: 混沌时序多步预测函数 chen函数的matlab仿真，非常有用，连续的非线性函数-Multi-step prediction of chaotic time series function chen function matlab simulation, very useful, continuous nonlinear function Platform: |
Size: 219136 |
Author:王聪 |
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Description: 提出了基于小波核函数的偏最小二乘方法对混沌信号进行了有效拟合，得到了很好的效果。-Based on wavelet kernel function of the partial least squares method of fitting the effective chaotic signal obtained very good results. Platform: |
Size: 417792 |
Author:武菲 |
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Description: 混沌时序多步预测函数，采用matlab编程，简单易懂-Chaotic time series multi-step prediction function, using the Matlab programming, easy to understand Platform: |
Size: 219136 |
Author:王建华 |
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Description: 八数码问题（类似于华容道），是一个有益智力的小游戏，通过空白滑块的移动来将混乱的图案恢复到有序的状态
本代码的核心算法通过fortran编写，经过matlab的制图功能进行可视化，解决了任意初始条件下的八数码问题的自动求解过程
1、matlab的exe文件在matlab文件夹中，点击打开之后出现gui图形化界面。
2、点击start按钮，程序会随机生成一个初始状态，并判断是否可解（solvable按钮显示YES即可解，NO即不可解）。
3、可解的话点击go按钮，程序开始自动运行，每0.5s运行一步，演示解的过程，完成之后会显示操作步数。
4、不可解的话重新点击start按钮，生成新的初始状态（如果此时强行点击go按钮的话会显示程序错误）。
5、如果需要再次演示，可以点击redo按钮。6、除此之外，点击timecost按钮，会显示fortran程序的运行时间。
7、fortran文件夹中包括的是大赛之前第一次提交的fortran文件，程序的注释都在其中，可以参照。
8、matlab文件夹中的sourcecode文件夹中包括的是matlab所调用的fortran程序exe文件的源代码，由于各种原因，其中没有注释，还请见谅。
9、具体的移动情况（测试算例）保存在matlab文件夹的object.txt文件中-Eight digital (similar Huarong), is a useful intellectual game by moving the slider to the blank will restore order to the chaotic state of the pattern of the core algorithm code written by fortran, after mapping function matlab visualization, eight digital solve any initial conditions automatically solving process 1, matlab matlab exe file in the folder, gui graphical interface appears after clicking Open. 2. Click on the start button, the program will generate a random initial state, and determine whether the solvability (solvable solution button to display YES, NO that is unsolvable). 3, then click on the go button solvable, the program starts running automatically run every step of 0.5s, the operation step number will be displayed during the demonstration solution, is completed. 4, unsolvable, then re-click the start button to generate a new initial state (if at this time if forced to click on the go button will display program error). 5. If you need to demonstrate again, you can c Platform: |
Size: 1559552 |
Author:曾克成 |
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Search - chaotic function matlab