power_3levelVSC

Particle Filter written in Matlab

Written license plate recognition using matlab can run effects

the source code is used for extraction. The name is DOST. I got a paper

project for student information system

说明：  改进的差分粒子群算法，并用于求函数极值，程序中分别于DE PSO 蛙跳进行对比，结果显示，改进的差分粒子群更好(The improved Differential Particle Swarm Optimization (DPSO) algorithm is used to find the function extremum. The program is compared with DE PSO frog jump, and the results show that the improved DPSO is better.)

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

DS program of IMIFOC

室内实时定位系统两地算法TWR和对称两地算法SDS-TWR的误差分析，得出SDS-TWR大大提高精度(Both indoor RTLS algorithm and symmetric two TWR SDS-TWR algorithm error analysis, the SDS-TWR greatly improved accuracy)

MATLAB宝典光盘赠送的章节。还是很有帮助的(MATLAB Collection CD gift section. Very helpful)

Building damage to flood storm and tsunami