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MIN
使用matlab编写的PSO算法，求解函数最优值(using matlab to realize particle swarm optimization algorithm for optimization)
- 2010-07-27 22:15:14下载
- 积分：1
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embedded-lecture-01
a good lecture for people who want to start working with embedded systems
- 2013-12-12 04:01:56下载
- 积分：1
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Opt_Steepest
说明： 用最速下降法求最优化解
输入：f为函数名 grad为梯度函数
x0为解的初值 TolX,TolFun分别为变量和函数的误差阈值
dist0为初始步长 MaxIter为最大迭代次数
输出: xo为取最小值的点 fo为最小的函数值
f0 = f(x(0))( Steepest Descent Method with Optimum Solution input: f as a function name grad is gradient function x0 for the solution of the initial TolX, TolFun variables and functions were error threshold dist0 as the initial step MaxIter maximum Diego passage number Output: xo to take the minimum point of fo is the smallest function value f0 = f (x (0)))
- 2011-02-23 13:32:17下载
- 积分：1
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4
说明： 优化问题的几个matlab解法实例，希望给大家带来帮助。(Optimization method several matlab example, hope to bring you help.)
- 2012-01-05 09:37:14下载
- 积分：1
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EEG-feature-extraction
脑电特征提取的的matlab算法EEG feature extraction(EEG feature extraction algorithm matlab EEG feature extraction)
- 2020-11-05 10:29:54下载
- 积分：1
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circuit1
this file simulate a circuit in matlab simulink and show the results
- 2009-09-16 17:56:08下载
- 积分：1
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eur_call_dw
说明： 用对偶法（underlying_dw），给定2M条样本轨道，给出一个欧式看涨期权的价格(With the dual method, sample path of a given article 2M, given the price of a European call option)
- 2011-04-01 00:45:37下载
- 积分：1
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matlab
聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)
- 2014-02-18 09:59:02下载
- 积分：1
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MonteCarlo
关于MonteCarlo算法的PPT教程，并有4个范例程序来帮助理解MonteCarlo算法(PPT tutorial on MonteCarlo algorithm and has four sample programs to help understand the MonteCarlo algorithm)
- 2014-11-17 15:15:02下载
- 积分：1
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chepaifenge
汽车车牌字符分割代码源程序——一种改进型的投影法对车牌字符进行字符分割。(Car license plate character segmentation code source- an improved projection method for character segmentation of license plate characters.)
- 2012-05-01 17:34:22下载
- 积分：1
