MatLab-interpolation-and-fiting

archivo informacion de matlab

Bee Algorithm for optimization

关于LMS算法的MATLAB仿真程序，LMS自适应滤波算法的仿真结果和收敛过程。(About LMS algorithm MATLAB simulation program, LMS adaptive filter algorithm simulation results and convergence process.)

一种智能优化算法-模拟退火算法的matlab源程序(simulated annealing)

matlab与C的混编，处理乘性噪声，建立M次开根号模型，需要调整参数。(written with matlab and C by S. Yun and H. Woo, "A new multiplicative denoising variational model based on m-th root transformation".)

数字图像处理课件-matlab语言基础，很适合做图像如理入门使用，系列之1数学预备知识(Digital image processing based on matlab language courseware), such as introduction to use, very suitable for image series 1)

此源代码是基于COM和ADO的数据库编程，用到了VC++6.0和ACCE(This source code is based on COM and ADO database programming, using the VC++ 6.0 and ACCE)

本电子资源是《matlab 2007 基础教程》的配套电子资源，包含PPT 和程序实例以及课后题答案。(The electronic resources is " matlab 2007 Essentials" package of electronic resources, including examples of PPT and procedures and answer questions after school.)

可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection This demo demonstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.)

基本粒子群算法，可解决优化问题，简单，效果好，实用(Basic particle swarm algorithm, solve the optimization problem, simple, good effect, practical)