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neural-network30-case
matlab神经网络30例，书和源码,都很经典，需要的同学赶快拿走(matlab neural network 30 cases of classic books and source code)
- 2013-12-05 09:53:03下载
- 积分：1
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myfile
speech signals in gsm
- 2015-02-13 05:54:41下载
- 积分：1
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pm
内容：运用PM算法识别空间目标。程序中附有注释，可改变方向角，运算速度比music算法快，本人毕设程序，绝对可用。(Content: The use of PM space target recognition algorithm. Annotated program, you can change the direction of the angle calculation algorithm is faster than the music, I set up the program, absolutely free.)
- 2013-11-25 21:35:41下载
- 积分：1
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Horn-Schunck--method-for-3-D-images
An implementation of Horn-Schunck optical flow method for 3-D images(This is an implementation of Horn-Schunck optical flow method for three dimensional images. A demo with test dataset is given.)
- 2013-10-03 22:31:35下载
- 积分：1
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sa
说明： 基于MATLAB开放的模拟退火算法实现程序，对于初学随机算法的人很有帮助！！(MATLAB-based simulated annealing algorithm . For learning randomized algorithms were very helpful! !)
- 2013-10-30 13:30:33下载
- 积分：1
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SATSP
使用模拟退火算法（SA）解决TSP问题的Matlab代码(use SA for solving TSP problem)
- 2011-11-22 23:47:48下载
- 积分：1
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1234435
用matlab 7.0编写的滑模变结构仿真的例子。(S-function for continuous state equation
function [sys,x0,str,ts]=s_function(t,x,u,flag)
switch flag,
Initialization
case 0,
[sys,x0,str,ts]=mdlInitializeSizes
Outputs
case 3,
sys=mdlOutputs(t,x,u)
Unhandled flags
case {2, 4, 9 }
sys = []
Unexpected flags
otherwise
error([ Unhandled flag = ,num2str(flag)])
end
mdlInitializeSizes
function [sys,x0,str,ts]=mdlInitializeSizes
sizes = simsizes
sizes.NumContStates = 0
sizes.NumDiscStates = 0
sizes.NumOutputs = 3
sizes.NumInputs = 1
sizes.DirFeedthrough = 1
sizes.NumSampleTimes = 0
sys=simsizes(sizes)
x0=[]
str=[]
ts=[]
function sys=mdlOutputs(t,x,u)
x11d=sin(pi*t/2)
x21d=cos(pi*t)
x31d=1
sys(1)=x11d
sys(2)=x21d
sys(3)=x31d
)
- 2012-10-19 11:43:12下载
- 积分：1
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BFGS
拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)
- 2017-05-05 10:28:29下载
- 积分：1
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LMS4
自适应滤波算法的应用，自适应信号对消的一种例子(The application of adaptive filtering algorithms, adaptive signal cancellation of a case)
- 2010-09-24 20:27:17下载
- 积分：1
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wirerope_denoising
主要用来对钢丝绳漏磁检测信号进行消噪处理，通过简单修改可以实现对钢丝绳检测信号的各种消噪方法。(wire rope magnetic flux leakage detection denoising)
- 2009-04-30 07:48:24下载
- 积分：1
