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SVD
一个基于SVD分解的人脸识别程序,采用ORL数据集进行试验(An SVD decomposition program for face recognition using ORL data set to test)
- 2012-05-01 15:59:57下载
- 积分:1
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UntitledzsWC.tar
三级倒立摆程序,其中包含求反馈矩阵,判断倒立摆是否能控能测。(Three inverted pendulum program, which includes seeking feedback matrix to determine whether the inverted pendulum control can be measured.)
- 2014-11-20 12:56:10下载
- 积分:1
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g545
Digital image exercices
- 2010-07-09 14:18:42下载
- 积分:1
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SVM
支持向量机的MATLAB实现,能自动完成数据的分类功能。(MATLAB support vector machines to achieve, can auto-complete the classification of functional data.)
- 2009-07-03 19:03:01下载
- 积分:1
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PID
说明: 先进PID控制源程序,需要的可以免费下载(Advanced PID control of source code, need can be downloaded for free)
- 2008-09-02 16:38:41下载
- 积分:1
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lab3
Distibution models sine
- 2011-08-17 20:19:02下载
- 积分:1
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kaihuanDC
利用matlab建立的模型——开环直流调速系统(电机控制)(The open loop dc speed control system
)
- 2012-06-09 14:37:32下载
- 积分:1
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classical-GA-method
遗传算法是计算机科学人工智能领域中用于解决最优化的一种搜索启发式算法,是进化算法的一种。这种启发式通常用来生成有用的解决方案来优化和搜索问题。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的,这些现象包括遗传、突变、自然选择以及杂交等。(In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.)
- 2015-01-30 11:58:25下载
- 积分:1
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First_EEE
语音信号线性特征的能量熵特征的计算,这是第一能量熵的源码,希望大家可以借鉴一下(Linear characteristics of speech signal characteristics of the energy calculation of entropy, this is the first energy entropy of the source, I hope we can learn about)
- 2010-09-10 18:43:22下载
- 积分:1
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fit_mix_gaussian
fit_mix_gaussian - fit parameters for a mixed-gaussian distribution using EM algorithm
format: [u,sig,t,iter] = fit_mix_gaussian( X,M )
input: X - input samples, Nx1 vector
M - number of gaussians which are assumed to compose the distribution
output: u - fitted mean for each gaussian
sig - fitted standard deviation for each gaussian
t - probability of each gaussian in the complete distribution
iter- number of iterations done by the function
- 2011-02-09 19:05:43下载
- 积分:1