Matlab_lvbo

matlab 用PSO 解决背包问题 (matlab solve the knapsack problem with PSO)

Compressibility factor from Peng Robinson Eos

机器学习中关于朴素贝叶斯（NB）方法的Matlab源代码，附带四个数据集用于实验(Machine Learning on Bayesian (NB) method of Matlab source code, with four data sets for experiments)

Matlab搭的双馈感应式风力发电系统机侧变流器、网侧变流器的控制模型，此模型中参数已给定，经调试后能运行。(Matlab ride doubly-fed induction wind power system with machine-side converter, the grid-side converter control model, the model parameters have been given, by the debugger to run.)

3 Dimension simultaneous localization and mapping (SLAM) problem asks if it is possible for a mobile robot to be placed at an unknown location in an unknown environment and for the robot to incrementally build a consistent map of this environment while simultaneously determining its location within this map

进行了小波和小波包滤波的比较，决策树重构，熵的计算(The comparison of wavelet and wavelet packet filtering, decision tree reconstruction and entropy calculation are carried out)

matlab simulink buck boost converter

analyze data association algorithms (Nearest Neighbour and JCBB) in SLAM. Data association is basically a combinatorial optimization problem whose goal is to find the “best” set of associations between the observations and predictions according to a particular criterion (e.g. individual compatibility). Form this point of view, near- est neighbour (NN, a.k.a. ML) is simply a “greedy” algorithm in which the “compatibility” of individual associations with each other is not examined. On the contrary, JCBB, by considering both the individual and joint compatibility, is able to yield much better results. JCBB uses the branch and bound technique in order to prune the search tree

说明：  这是一个基于最大信息判据的盲源分离算法程序，这个程序能很好的分离信号。(This is a criterion based on the maximum information algorithm for blind source separation procedures, which can be a very good signal separation.)

说明：  基于粒子群优化算法的模糊c聚类源码，matlab类型(Fuzzy c-cluster source code based on particle swarm optimization algorithm, matlab type)