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GUASSpoint
高斯积分点计算程序(Matlab)编写,计算力学、工程力学方面有用(Guass point compute)
- 2010-11-27 14:20:19下载
- 积分:1
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matlab-GUI-meterpanel
matlab GUI 仪表盘指针
通过移动滑动条可以使虚拟仪表指针转动,同时LED 显示指针指示值(matlab GUI meterpanel
by moving the slider you can make the virtual meter pointer rotate ,meanwhile the LED will show the value of the pointer)
- 2011-12-09 14:27:42下载
- 积分:1
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yuchou2
说明: 用matlab解决线性回归问题,在约束条件下求解二次回归问题的极小值(Using matlab to solve linear regression problems, in the constraint solving quadratic regression under the condition of the minimum problem)
- 2008-10-31 22:55:42下载
- 积分:1
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MULTI-DECISION-TOPSIS
TOPSIS code for matlab with example
- 2014-08-11 20:12:26下载
- 积分:1
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MIMO-OFDM系统原理、应用及仿真李莉(实例代码)
有关MIMO-OFDM系统原理、应用及matlab仿真的实例代码(About the MIMO-OFDM system principle, application and MATLAB simulation example code)
- 2021-04-12 21:48:56下载
- 积分:1
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新建文件夹 (2)
基于小波变换神经网络的车流量预测,含程序和数据。小波分析是针对傅里叶变换的不足发展来的,傅里叶变换是信号处理领域中应用最广泛的的一种分析手段,然而它有一个严重不足,就是在变换是抛弃了时间信息,变换结果无法判断某个信号发生的时间,即傅里叶变化在时域中没有分辨能力。小波是一种长度有限,平均值为0的波形,它的特点包括:(1)时域都具有紧支集或近似紧支集;(2)直流分量为零。小波函数是由一个母小波函数经过平移与尺寸伸缩得到,小波分析即把信号分解成一系列小波函数的叠加。(Vehicle flow prediction based on wavelet transform neural network)
- 2018-06-28 13:26:32下载
- 积分:1
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fir1_lab
fir lab implemeting on c6713
- 2009-05-23 15:10:34下载
- 积分:1
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ebook-OreillyCInANutshellDec2005
C:In a Nutshell(.chm)
Author: Tony Crawford, Peter Prinz
Publisher: O Reilly
Pub Date: December 2005
- 2007-09-26 19:53:20下载
- 积分:1
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Bureau
The Nakagami distribution or the Nakagami-m distribution is a probability distribution related to the gamma distribution. It has two parameters: a shape parameter μ and a second parameter controlling spread, ω.
- 2010-12-21 02:37:00下载
- 积分:1
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YTY_GA_Final
To find the largest fitness value and its location
寻找最大适应性及相应的位置!Population N=50;crossover bits=n/2 (half of bits of an individual) with random locations,mutation bits = 4 种群数 N=50,交换位数= n/2, 即个体位数的一半,且位置随机;
变异位数统一取为4;
Nc=20,28,36,44,individuals for crossover(交换的个数)。Nm=1,5,10,15, individuals for mutation(变异的个数)。(To find the largest fitness value and its location to find the location of the maximum adaptability and the corresponding! Population N = 50 crossover bits = n/2 (half of bits of an individual) with random locations, mutation bits = 4 population size N = 50, exchange digits = n/2, ie half of the median individual, and random position variation is taken as unity median 4 Nc = 20,28,36,44, individuals for crossover (exchange number). Nm = 1,5,10,15, individuals for mutation (the number of variations.))
- 2010-12-27 21:23:27下载
- 积分:1