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用ＭＡＴＬＡＢ语言实现电流源立体方向图的绘制(MATLAB language with the direction of the current source three-dimensional mapping)

说明：  雷达模拟程序，图像界面，在不同版本的MATLAB运行时需要调试。(Radar simulation program, image interface, need to be debugged in different versions of MATLAB.)

说明：  双闭环控制系统的MATLAB仿真及其说明。很不错的模块。(SPEED & POSITION PID MATLAB)

说明：  学习matlab的简单 30程序 如追赶法求解三对角方程(Chase method Tridiagonal)

实现弱信号条件下的检测，可以检测到较低信噪比条件下的信号。(weak signal decetion)

paper for classification of cell images based on neural network classifiers

通过fn算法，实现社区网络发现的一个例子。(Through FN algorithm, an example of community network discovery is implemented.)

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.)

matlab中文课件，ppt格式Matlab基础及其应用(matlab Chinese courseware, ppt format based on Matlab and Its Application)

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