-
Matlab_ChineseHelp
说明: Matlab中文帮助,叫我们如何使用Matlab软件(Matlab Chinese help, tell us how to use the Matlab software)
- 2008-11-26 22:57:25下载
- 积分:1
-
kennard-stone
经典的KS算法,用于近红外光谱分析选样本。(Classic KS algorithm, the sample selected for the near-infrared spectroscopy.)
- 2021-04-19 10:58:51下载
- 积分:1
-
Buck
power electronic-Buck-forward converter-this is a Psim file
- 2014-10-31 20:01:24下载
- 积分:1
-
SINS--matlab
捷联式惯性导航力学编排方程代码,自己编写的,对初学者有帮助(Inertial navigation equations of mechanics choreography code, I have written to help beginners)
- 2014-03-13 09:34:21下载
- 积分:1
-
MIMO雷达波束形成
说明: MIMO雷达波束形成的基本原理和部分资源代码,希望对大家有用(The basic principle and some resource codes of MIMO radar beamforming are hoped to be useful to you)
- 2021-05-16 14:30:02下载
- 积分:1
-
PLS1_sina
说明: 用于单变量的偏最小二乘回归,直接给出回归系数。 X0是自变量矩阵,Y0是因变量向量,PRESS是去除其中某一个样本而回归出的方程对
缺失样本的误差估计,SS则是使用全部样本回归出的方程对同一个样本的误差估计。
在h个成分时,计算PRESS_h与SS_h-1,若1-PRESS/SS大于0.0975时,应增加成份。
[row,col]=size(pz) (For single-variable partial least squares regression, regression coefficients are given directly. X0 is the independent variable matrix, Y0 is the dependent variable vector, PRESS is to remove one of them out of the sample and the regression equation for missing samples error estimates, SS is the use of all of the sample regression equation out of a sample of the same error estimates. In h constituent, the calculation PRESS_h and SS_h-1, if the 1-PRESS/SS greater than 0.0975, to increase the ingredients. [Row, col] = size (pz) )
- 2010-03-22 10:46:31下载
- 积分:1
-
glarkin
说明: 伽辽金无网格法求解一维问题的MATLAB代码,内附2个子程序。(the method of glarkin meshless)
- 2011-03-21 14:53:23下载
- 积分:1
-
What-is-Cloud-Computing--A-Webopedia-Definition_f
deduplication project
- 2015-02-06 03:44:26下载
- 积分:1
-
基于PD增益自适应调节的模型参考自适应控制
基于RBF神经网络辨识的单神经元PID模型参考自适应控制, 基于RBF神经网络辨识的单神经元PID模型参考自适应控制(Single Neuron PID Model Reference Adaptive Control Based on RBF Neural Network Identification)
- 2019-03-15 20:14:04下载
- 积分:1
-
nnupdatefigures
the update data figure of nn net in signal processing, and it is the matlab code
- 2014-10-21 11:33:52下载
- 积分:1