chepaishibie

辅助粒子滤波程序，是对粒子滤波程序的改进(Auxiliary particle filter program, the program is to improved particle filter)

autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)

说明：  基于GA改进BP神经网络的预测算法，可用(Forecasting algorithm based on GA improved BP neural network, available)

说明：  因为经典粗糙集只能处理离散型数据，而连续性数据必须离散化才能处理，但是离散化可能会丢失部分重要信息，所有使用基于邻域粗糙集的属性约简去处理连续性数据。(Attribute reduction based on neighborhood rough set)

利用matlab程序编写可以实现找到曲线标记的方法以及可以指定坐标轴范围的程序。(Matlab programmers can use to find curves labeled realize Ways and axes can specify the scope of procedures.)

经典MATLAB算法，插值计算，拟合，绘图等(Classic MATLAB algorithms, interpolation, fitting, drawings, etc.)

基本粒子群算法源程序，开发环境是MATLAB，吐血推荐，易改实用！(Particle swarm algorithm source)

本文件是我们小组参加2013电工杯的数学建模比赛的文件，荣获全国2等奖！我们做的是电力系统分析的题目，内有基于matlab建立的三次平滑统计方法，以及神经网络智能算法，还有就是基于simulink的电力系统仿真程序！内附有程序说明文件。你一定能看懂的，不懂的可以留言给我！(This document is our electrician Cup 2013 team participated in the mathematical modeling of the game files, won the two prize! What we do is the subject of power system analysis, there are statistical methods based on cubic smoothing matlab established and intelligent neural network algorithm, there is a power system based on simulink simulation program! Enclosing a program documentation. You must be able to read and understand can leave a message to me!)

matlab 最优化处理的一些简单编程，以及附带若干个例子(Some simple matlab program optimization, and with some examples)

说明：  本程序运行需一个小时左右。优化准则是旁瓣电平最小。取栅格间距为lemda/2,阵元间距为栅格间距的整数倍。放阵元的位置放1，否则放0(This program should be running an hour or so. Rule of optimization is side-lobe level minimum. Take grid spacing for lemda/2, spacing for grid spacing array (integer times. Put the position of the array (put 1, otherwise put 0 )