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Heteroscedastic Gibbs Sampling Example

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

遗传算法与粒子群算法结合对参数进行优化选择，达到最后结果(Genetic algorithm and particle swarm optimization algorithm to the parameters combine to achieve the final result)

程序仿真MS（移动台）在分布式MIMO系统中（含有六个天线簇）的信噪比随距离的变化(Process simulation MS (mobile station) in a distributed MIMO system (with six antenna clusters) of the signal to noise ratio changes with distance)

An integrated multidisciplinary particle swarm optimization approach to conceptual ship design

在正方形区域内产生均匀分布的随机拓扑,红色信标节点 . 黑色未知节点,初始化节点间距离,跳数矩阵,最短路径算法计算节点间跳数,球每个信标节点的校正值,最小二乘法求未知点坐标(Generate uniformly distributed random topology in the square area, red beacon nodes. Black unknown nodes, the distance between node initialization, hop count matrix, the shortest path algorithm for computing nodes hops, a correction value of a ball each beacon node, the least square method for the coordinates of unknown points )

验证可用，基于欧几里得距离的聚类分析，小波包分析提取振动信号中的特征频率。( Verification is available, Clustering analysis based on Euclidean distance, Wavelet packet analysis to extract vibration signal characteristic frequency.)

vector conducteur pnc fille matlab 2012

这是个二级倒立摆模型的建模仿真，程序很重要，是研究算法的必备程序。(This is a level 2 inverted pendulum model　Program is very important, is the essential procedure of the algorithm.)

matlab code from in the problem in numerical caculation.