music1-zhh

rbf网络逼近仿真实例，包括网络训练程序和网络测试程序(rbf)

Very simple function to quickly plot a 3D cube

matlab program for noon linear estimation

Matlab人工智能学习包，由世界领先的德国马普所制作(The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with, e.g model selection, statistical tests and visual plots. This gives all the power of objects (reusability, plug together, share code) but also all the power of Matlab for machine learning research.)

mel frequency cepstrum coeffcients

说明：  介绍使用GPIB控制卡，控制仪器的方法，以及使用函数库编写程序对仪器进行读写控制等。(Introduced using the GPIB controller to control the instrument approach, and write programs using the library to read and write control of the instrument.)

MATLAB implementation of 4 different diffusion filtering algorithms. Better performance to remove noise than conventional low-pass filtering.

simulation file for dq model for skill improvment and matlab

gui,实现视频的读入，以及图像的获取，并实现kalman滤波对目标物的位置进行检测预测(kalman filter detect the object)

In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. Genetic algorithms find application in bioinformatics, phylogenetics, computational science, engineering, economics, chemistry, manufacturing, mathematics, physics, pharmacometrics and other fields.