-
PerceptronWithMargin
Perceptron with margin (Variable increment) : Linear Discriminants
- 2012-05-19 05:53:21下载
- 积分：1
-
Hurst
One way to determinate the Hurst exponent
- 2011-09-23 22:36:52下载
- 积分：1
-
tiqulunkuox
提取轮廓线的基本方法，大量的提取例子，和大量的代码示例(The basic method of extracting contour extraction examples, and a large number of sample code, a large number of)
- 2013-04-27 16:47:29下载
- 积分：1
-
final-given
This is a code for Dynamic Stochastic Resonance for image denoising
- 2015-06-02 02:55:45下载
- 积分：1
-
semiparameter_sin_eg
关于半参数模型的补偿最小二乘法，利用三次自然样条函数构造正则化矩阵(About half the compensation method of least squares parameter model, the use of natural cubic spline function constructed regularization matrix)
- 2014-05-21 09:52:35下载
- 积分：1
-
16443203
基于matlab的过程辨识，内含多个文件，包括辨识的相关知识。(process identification Based on the matlab，containing multiple files, including identification of relevant knowledge.
)
- 2011-05-05 10:33:07下载
- 积分：1
-
TLS
Description
We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of:
- linear regression model
- nonlinear regression model
- fitting data in 3D space
- identification of dynamical system
This toolbox requires another two functions, which are already published in Matlab Central File Exchange. Those functions will be installed to computer via supporting install package requireFEXpackage included in TLS package. For more details see ReadMe.txt file.
Authors: Ivo Petras, Dagmar Bednarova, Tomas Skovranek, and Igor Podlubny
(Technical University of Kosice, Slovakia)
Detailed description of the functions, examples and demos can be found at the link:
Ivo Petras and Dagmar Bednarova: Total Least Squares Approach to Modeling: A Matlab Toolbox, Acta Montanistica Slovaca, vol. 15, no. 2, 2010, pp. 158-170.
- 2011-10-12 05:41:58下载
- 积分：1
-
MIMO
MIMO雷达成像，资料比较全的，是一个压缩包(MIMO radarimaging)
- 2012-07-31 11:30:48下载
- 积分：1
-
wigb
地震道显示，以波形的形式显示地震剖面，非常有用。(draw seismic section)
- 2013-04-07 21:19:50下载
- 积分：1
-
BPYUCE
分别用BP神经网络和RBF神经网络实现近红外光谱的汽油辛烷值预测，两种方法用相对误差以及决定系数进行性能评价，最后绘制图仿真曲线。有较为详细的注释，并有仿真数据(Respectively with BP neural network and RBF neural network Near Infrared Spectroscopy Gasoline Octane prediction, two methods relative error and the coefficient of determination for performance uation, the final sketch simulation curve. There are more detailed comments, and a simulation data)
- 2015-07-06 10:55:48下载
- 积分：1
