车牌识别系统设计

【实例简介】Optimal State Estimation[SOLUTION MANUAL].pdf 

投影寻踪优化算法

MATLAB神经网络30个案例分析[全文PDF]及随书源代码

function [modes its]=ceemdan(x,Nstd,NR,MaxIter)% WARNING: for this code works it is necessary to include in the same%directoy the file emd.m developed by Rilling and Flandrin.%This file is available at %http://perso.ens-lyon.fr/patrick.flandrin/emd.html%We use the default stopping criterion.%We use the last modification: 3.2007% % This version was run on Matlab 7.10.0 (R2010a)%----------------------------------------------------------------------% INPUTs% x: signal to decompose% Nstd: noise standard deviation% NR: number of realizations% MaxIter: maximum number of sifting iterations allowed.%% OUTPUTs% modes: contain the obtained modes in a matrix with the rows being the modes % its: contain the sifting iterations needed for each mode for each realization (one row for each realization)% -------------------------------------------------------------------------% Syntax%% modes=ceemdan(x,Nstd,NR,MaxIter)% [modes its]=ceemdan(x,Nstd,NR,MaxIter)%%--------------------------------------------------------------------------% This algorithm was presented at ICASSP 2011, Prague, Czech Republic% Plese, if you use this code in your work, please cite the paper where the% algorithm was first presented.

【实例简介】function [ENOB, SNDR, SFDR, SNR] = prettyFFT(wave,f_S,maxh,no_annotation,no_plot,baseline);

rbf神经网络

对流场进行大尺度拟序结构的提取

RBF神经网络控制仿真_第二版

用粒子群算法对RBF网络参数初值的估计

对于传统人工鱼群算法，在栅格环境中的优化.本程序优化，为了解决传统算法，每次执行都选取最优解的行为，从而因为栅格障碍，使得局部最优解，干扰全局最优解，导致路径规划不合理主要处理方式为，去除传统算法每一步都选取最优解的行为，当存在鱼群找到目标点时，就记录下找到目标点的鱼群轨迹，形成路径规划的可行解