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jzl
帮助大家了解矩阵的基础知识
(matrix )
- 2009-12-02 22:29:19下载
- 积分:1
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A-neuro-fuzzy-control-based-torque-tracking-appro
A neuro-fuzzy control based torque tracking approach
- 2015-01-14 17:08:47下载
- 积分:1
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plotSmithChart
用matlab画出来的smith圆图,电子信息类的可以参考参考(Drawn with matlab smith chart, electronic information can refer to reference)
- 2011-06-11 16:39:14下载
- 积分:1
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paper1
A Maximum Likelihood Doppler Frequency
- 2015-02-01 12:11:27下载
- 积分:1
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123456
该程序完成了针对卫星姿态控制系统的执行器故障诊断和传感器故障诊断(The program has completed for the actuator fault diagnosis of satellite attitude control system and sensor fault diagnosis)
- 2013-05-09 17:53:17下载
- 积分:1
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83390087DFIG_modificado_50Hz5
本程序可以实现的功能是:建立直接驱动风力发电机、单级光伏发电系统和储能电池的风力发电和光伏混合微电网模型。通过平滑蓄电池的输出功率平滑风能和光伏功率来维持PCC的电压。(The function of this program is to establish a hybrid micro grid model of wind power generation and photovoltaic power generation directly driven by wind power generator, single stage photovoltaic power generation system and energy storage battery. The PCC voltage is maintained by smoothing the output power of the battery and smoothing the wind and photovoltaic power.)
- 2018-05-30 10:33:51下载
- 积分:1
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Kennard-Stone_msc
说明: 对近红外光谱进行多元散射校正的源代码,需要另建函数进行调用。另外一个是Kennard-Stone算法用于划分训练集和验证集。(The source code for multi-scattering correction of near infrared spectroscopy needs to be invoked by another function.Another is the Kennard-Stone algorithm, which is used to divide training set and verification set.)
- 2019-03-30 16:49:55下载
- 积分:1
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solve_possion-Mixed
求解椭圆型方程的matlab程序 李荣华版(Matlab program Ronghua version of solving elliptic equations)
- 2012-04-20 18:29:44下载
- 积分:1
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LS_ar
用总体最小二乘法+AR的现代谱估计方法对信号的功率谱进行估计。(By total least squares method AR+ modern spectral estimation method for estimating the power spectrum of the signal.)
- 2015-01-07 12:46:58下载
- 积分:1
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MATLAB
MATLAB函数参考手册,查看matlab函数作用以及功能。( SVMLSPex02.m
Two Dimension SVM Problem, Two Class and Separable Situation
Difference with SVMLSPex01.m:
Take the Largrange Function (16)as object function insteads ||W||,
so it need more time than SVMLSex01.m
Method from Christopher J. C. Burges:
"A Tutorial on Support Vector Machines for Pattern Recognition", page 9
Objective: min "f(A)=-sum(ai)+sum[sum(ai*yi*xi*aj*yj*xj)]/2" ,function (16)
Subject to: sum{ai*yi}=0 ,function (15)
and ai>=0 for any i, the particular set of constraints C2 (page 9, line14).
The optimizing variables is "Lagrange Multipliers": A=[a1,a2,...,am],m is the number of total samples.)
- 2011-04-27 14:27:35下载
- 积分:1