-
shape_get
说明: MATLAB 讀取 ESRI 檔 AND SETIING X Y (MATLAB RREAD ESRI FILE AND SETIING X Y)
- 2011-03-26 18:25:35下载
- 积分:1
-
KFCMClust
基于matlab的核模糊C-means聚类算法(KFCM),(Matlab-based nuclear Fuzzy C-means clustering algorithm (SN))
- 2007-03-24 09:46:00下载
- 积分:1
-
16psk
给出比较少见的16PSK的仿真算法,包括高斯信道,瑞利信道及线性时不变信道。其中,在瑞利信道中,给出了均衡前均衡后比较结果,从中可以看出均衡的效果(is relatively rare in the estimation algorithm, including Gaussian Channel, Rayleigh channel and the linear time-invariant channel. Of these, the Rayleigh Channel, is a balanced balanced ago after the results of the comparison, from which one can see the effect of balance)
- 2007-05-29 11:28:15下载
- 积分:1
-
navi_test
基于MATLAB的SINS更新解算系统的仿真研究(Simulation Research update system solver of MATLAB-based SINS)
- 2015-04-07 10:03:00下载
- 积分:1
-
Lyapunov
Stochastic Nework Optimization via Lyapunov Drift-plus-Penalty technique
- 2020-07-28 10:08:39下载
- 积分:1
-
Inventory
code of the inventory project
- 2015-02-06 14:32:50下载
- 积分:1
-
Tpsaat-2000-bh
此源代码,是一个非常适合研究与学习用的电力系统仿真软件源码,是一种基于mattlab的,有非常好的界面、仿真库等等,能进行PF、CPF、OPF等一些计算。
(This source code is a very suitable for research and study used in power system simulation software source code is a matlab-based, and has very nice interface, the simulation database and so on, can P
)
- 2012-05-08 15:15:14下载
- 积分:1
-
carima-moxingyucekongzhi
carima模型程序,适合GPC。希望度需要的人有帮助。(carima model program, for of GPC. Hope degrees who need help.)
- 2012-06-05 10:44:41下载
- 积分:1
-
plotSmithChart
plotsmithchart
Usage:where Zl is the Load Impedence (possibly complex)and Zo is the Characteristic Line Impedence Plots a smith chart, along with the reflection coefficient circle and the line of intersection with resistive component equal to 1
- 2012-08-16 06:52:09下载
- 积分:1
-
lsm-rbf
说明: 一种最小二乘法的RBF网络
----------------------------------
radical basis function neural network
------------------------------------------
clear all
close all
global sp k w2 b2 unitcenters
alldatanum=400
traindatanum=300
testdatanum=100
sp=8
errorlimit=0.1
u=rand(1,alldatanum+10)
y=zeros(1,alldatanum+10)
for i=4:alldatanum+3
y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+...
y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。(radical basis function neural network
------------------------------------------
clear all
close all
global sp k w2 b2 unitcenters
alldatanum=400
traindatanum=300
testdatanum=100
sp=8
errorlimit=0.1
u=rand(1,alldatanum+10)
y=zeros(1,alldatanum+10)
for i=4:alldatanum+3
y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+...
y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。)
- 2011-04-13 10:26:06下载
- 积分:1