-
power-flow
网络的三相计算机潮流案例，基于MATLAB 的计算机潮流及其可视化(Three-phase current case computer networks, computer-based trend MATLAB and Visualization)
- 2015-05-29 12:57:53下载
- 积分：1
-
ypz
遗传算法的概念最早是由Bagley J.D在1967年提出的；而开始遗传算法的理论和方法的系统性研究的是1975年，这一开创性工作是由Michigan大学的J.H.Holland所实行。当时，其主要目的是说明自然和人工系统的自适应过程。
(The concept of genetic algorithm by the Bagley JD was first proposed in 1967 and start method of genetic algorithm theory and systematic research in 1975, this pioneering work is undertaken by the University of Michigan JHHolland the practice. At that time, its main purpose is to describe the natural and artificial adaptive process.)
- 2010-12-21 11:12:01下载
- 积分：1
-
Poetry-appreciation-system
Poetry appreciation system(Be able to specify the folder poetry files (text files, not less than 10) in the order of eleven appreciate, the last one poem to the next song is the first poem, the first verse is the last one before a poem.
User interface menu (or Command button) should at least include locate the folder, on a poem, The next poem, Exit 4. Tip: You can use DriveListBox, DirListBox and FileListBox controls.)
- 2015-01-08 14:05:15下载
- 积分：1
-
iterative-method-matlab-code
matlab迭代法代码，很不错，值得看看(iterative method matlab code, very good, worth a look)
- 2013-11-15 17:09:57下载
- 积分：1
-
robot
matlab robotics toolbox sample
- 2015-03-30 23:35:49下载
- 积分：1
-
youcheng
非常好的matlab代码，欢迎下载分享学习！！！(this is a very good！！！！！！！！！)
- 2012-04-19 19:16:10下载
- 积分：1
-
MACD-Divergence-EA
利用macd背离信号开单,它能省去很多人为的干预，自动交易，避免人性的恐惧和贪婪的弱点！(it use MACD divergence to trade!)
- 2014-10-21 10:43:49下载
- 积分：1
-
filtered-high-freq-noise
matabl filtered high frequency noisy
- 2013-11-21 21:47:23下载
- 积分：1
-
WmImages
windows media format 9 for images(nine windows media format for images)
- 2006-06-02 16:21:21下载
- 积分：1
-
LMS
1,、设置变量和参量：
X(n)为输入向量，或称为训练样本
W(n)为权值向量
e(n)为偏差
d(n)为期望输出
y(n)为实际输出
η为学习速率
n为迭代次数
2、初始化，赋给w(0)各一个较小的随机非零值，令n=0
3、对于一组输入样本x(n)和对应的期望输出d，计算
e(n)=d(n)-X^T(n)W(n)
W(n+1)=W(n)+ηX(n)e(n)
4、判断是否满足条件，若满足算法结束，若否n增加1，转入第3步继续执行(, set the variables and parameters:
X (n) is the input vector, otherwise known as the training sample
W (n) for the weight vector
e (n) for the deviation
d (n) is the desired output
y (n) is the actual output
η is the learning rate
n is the number of iterations)
- 2011-12-10 20:22:05下载
- 积分：1
