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matlab_GrayForecast
说明： 自己编写的灰度预测的matlab程序，包含多种灰度预测方式。(I have written matlab gray prediction procedure, including a variety of gray forecasting methods.)
- 2010-03-20 20:12:34下载
- 积分：1
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2
说明： 混合群智能优化的模糊PID控制,该设计用于汽轮机调速器的设计(A Hybrid PSO_Fuzzy_PID Controller for Gas Turbine Speed Control)
- 2013-11-09 23:00:48下载
- 积分：1
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polymatlab
Initiation a MATLAB
Ce document est issu d une premiere version ecrite en 1993, qui avait l’avantage de tenir
sur 10 pages. Au fil des annees il est apparu que beaucoup de concepts importants etaient
passes sous silence, ce qui obligeait les enseignants a combler ces lacunes au fur et a mesure.
- 2011-11-26 00:11:29下载
- 积分：1
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gfdgfdgf
基于DDS的信号发生器的设计 能实现信号的检测 是基于AT9300(DDS-based signal generator)
- 2009-05-10 08:13:44下载
- 积分：1
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glpf
这段代码主要是实现二阶高斯低通滤波器，本段代码全部用MATLAB语言实现的。(This code is to achieve second-order Gaussian low-pass filter, the above code to achieve the full use of the MATLAB language.)
- 2009-06-08 12:41:45下载
- 积分：1
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exmpl4
是我做MIMO-OFDM论文时找的，都是可用的，欢迎下载。-MIMO-OFDM on the matlab and simulink simulation program or model (with the simulink simulation mo
- 2012-05-01 11:28:48下载
- 积分：1
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guidatabase
Database sederhana dengan GUI pada Matlab
- 2013-04-17 06:08:23下载
- 积分：1
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video_anpr
this file is about devloping a apllication for automatic number plate recognition
- 2013-12-26 15:02:51下载
- 积分：1
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c10mfode2
应用Oustaloup算法设计的滤波器理论，设计分数阶微分模块。用SIMULINK求解分数阶非线性微分方程(Application Oustaloup filter algorithm design theory, design, fractional differential module.Fractional Differential Equations with SIMULINK)
- 2010-06-30 15:47:33下载
- 积分：1
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gongetidufadshuzhixingzhi
共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)
- 2012-03-26 18:48:46下载
- 积分：1
