LSR

this is an SOS Tool for Matlab users

极限学习机极速学习机\鲁棒ELM代码稳健ELMELM回归ELM二分类离群值\extreme learning machine基于ELM的图像分类与稳健回归算法研究 matlab代码 离群值鲁棒极速学习机文章Zhang, Kai, and Minxia Luo. Outlier-robust extreme learning machine for regression problems. Neurocomputing 151 (2015): 1519-1527.的matlab代码(Matlab codes of the following paper: Zhang, Kai, and Minxia Luo. Outlier-robust extreme learning machine for regression problems. Neurocomputing 151 (2015): 1519-1527. Please see the file ORELM_v1.0.zip )

基于差分进化的极限学习机 基于差分进化的极限学习机(Based on Differential Evolution Extreme Learning Machine)

CGUI在STM上的移植, PDF文件,下载查看(The transplantation of CGUI on STM)

采用MATLAB 编程 计算的 kriging代理模型(kriging program by MATLAB)

Segmentatiuon wiuth FCM

rbf neural network approximation

支持向量机方法，用matlab实现，用于分类检测、模式识别，人脸检测等(Support Vector Machine method, the realization of Matlab for the detection and classification, pattern recognition, face detection)

Basic matlab commands

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)