kalman-wiener

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)

matlab application for engeneering system

进行Iris数据分类实验，使用matlab构建rbf神经网络(Iris data classification experiments, using matlab to build the rbf neural network)

matlab GUI 学习参考手册，matlab GUI 学习参考手册(matlab GUI reference manual to learn, matlab GUI reference manual to learn)

Jacobian transformation script

混沌函数，很好用的哈，大家试一试哈，真的呀(failed to translate)

主要计算电力系统机组组合问题，高智能算法，收敛效果好，迭代稳定(Main computing unit combination problem of power system, intelligent algorithms, convergence effect is good, stable iteration)

参数估计，最大似染发、最小二乘法，Monte_Carlo法仿真10000点 (Parameter estimation, maximum likelihood hair, least square method, Monte_Carlo 10,000 points for Simulation)

it is a knn classfier,can classfier some datasets.than you

说明：  一篇用于样条曲面拟合的matlab程序实现的论文，对于初学者具有很好的借鉴意义。(1 for the spline fitting matlab program implementation paper for beginners with a good reference.)