netplot

人工免疫算法基于遗传MATLAB代码很有用哦(Artificial immune algorithm based on genetic code useful MATLAB Oh)

操作系统概念恐龙书第六版，翻译版。作者我忘了~~(Operating System Concepts Sixth Edition dinosaur books)

fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!. Given the samples of a log-normal distribution, the PDF parameter is found fits data to the probability of the form: p(x) = sqrt(1/(2*pi))/(s*x)*exp(- (log(x-m)^2)/(2*s^2)) with parameters: m,s format: result = fit_ML_log_normal( x,hAx ) input: x - vector, samples with log-normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields m,s - fitted parameters CRB_m,CRB_s - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

非线形回归程序进行最优化.(我上传的五个程序都是我个人做研究中写的,由于时间比较匆忙且只是自己写文章时做的实验,没有什么注释,如果有什么不懂的,可以email联系我:)(non-linear regression procedure optimization. (I uploaded five procedures are my personal study was done, Because of the time compared to just rush and write the article, so the experiment, nothing Notes, if what I do know, I can email links :))

说明：  虫口模型的短小程序，有用的下，没用的别下，看看最好(Insect population model of the short program, useful, the useless do next, take a look at the best)

附件中的pdf文件是韩国作者08年在Automatica上发表的文章。本代码给出了文章中定理1的线性矩阵不等式的求解程序，通过给定不同的a来求解最大的b,进而得到界定时滞系统的最小的椭圆。(Attached pdf file of 2008 in South Korea articles published in Automatica. This code is given in Theorem 1 article LMI solver through a given different to solve the biggest b, then get the minimum of delay systems defined ellipse.)

landweber是一种代数重建算法，相对别的算法，它的重建速度较快，用于图像重建等(landweber is an algebraic reconstruction algorithm, compared to other algorithms, it is faster to rebuild, for image reconstruction)

MAME0.89 模拟器 source code(MAME0.89 simulator source code)

基于matlab的通信工程方面的qpsk仿真实验的原代码(it is about qpsk,written through matlab)

粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可(Particle Swarm Optimization (PSO) used neural network optimization program. Divided into no hidden layer, a hidden layer, two hidden layers. You can run DemoTrainPSO.m)