Chaotic-Particle-Swarm-Optimization

基于逻辑回归的分类实验，在UCI数据库的audlt数据集上进行测试(Classification based on logistic regression test, the database in the UCI data set to test audlt)

对于复杂网络中各种节点的分布进行计算和求证时不是幂律分布，并求出相关的指数。(Power-law distribution of complex networks)

code describing Bayes theorem for sensor data fusion

经典的KALMAN滤波算法，适用于初学者。(Classic KALMAN filtering algorithm for beginners.)

说明：  脑电信号功率谱，用于计算各个通道的功率谱，功率谱密度(The power spectrum of eeg signal is used to calculate the power spectrum and power spectrum density of each channel)

关于模式识别的几个matlab程序，包括fisher；parzen窗；感知函数等等。(Matlab on the number of pattern recognition procedures, including the fisher parzen window perceptual function and so on.)

SIMULINK初级教程，入门必备。AM调制器的设计，低通滤波器，AM相干解调仿真(SIMULINK primer, entry necessary. AM modulator design, low-pass filter, AM Coherent demodulation simulation)

说明：  matlab/simulink下的J-A模型(J-A model basing on simulink)

寻找一个数的黑洞数，也就是Kaprekar数。(Looking for black number, which is Kaprekar numbers.)

fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!. Given the samples of a normal distribution, the PDF parameter is found fits data to the probability of the form: p(r) = sqrt(1/2/pi/sig^2)*exp(-((r-u)^2)/(2*sig^2)) with parameters: u,sig^2 format: result = fit_ML_normal( x,hAx ) input: x - vector, samples with 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 sig^2,u - fitted parameters CRB_sig2,CRB_u - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML