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倒立摆 模糊控制 一级直线 毕业论文 源程序 论文资料(Fuzzy Control of an Inverted Pendulum graduation line information source papers)

这是两个比较完整的matlab程序，希望对大家有用(These are two relatively complete matlab program, we want to be useful)

此程序可以实现图像间的融合拼接，效果很不错！(This procedure can achieve the integration and connection between the image, the effect is very good!)

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.)

This a two dimensional level set code that extends quanities off the interface using a first order Godunov scheme.

interface para el estudio de imagenes

说明：  很好的源码，关于卡尔曼滤波的源码，值得一看(A good source, the source on the Kalman filter, worth a visit)

本例是matlab算法实例，利用matlab实现非线性方程求解。(Using matlab to achieve a non-linear equation solver)

LS-ESPRIT算法，能够有效的测出信号的位置(LS-ESPRIT algorithm can effectively detect the location of the signal)

RBF algorithm of Machine Learning