BP_Adaboost强分类器公司财务预警建模

coding for non parametric two way ANalysis Of VAriance

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

说明：  采用M语言进行卡尔曼滤波器仿真matlab程序(M language Kalman filter simulation)

LBP算法MATLAB实现,3个m文件。getmapping，LBP，lbptest。(LBP algorithm based on MATLAB implementation, 3 m documents. getmapping, LBP, lbptest.)

ploting uwb channel with matlab

Voronoi使用Matlab编程，解决选址、最小路径最大覆盖等问题(Voronoi uses Matlab programming to solve the problem of location, minimum path maximum coverage and so on)

fault finding in power system analysis

利用matlab求解混沌的各种类型，都有源程序，分的很细，很容易学习的(Use matlab to solve all types of chaos, there is source of very fine, very easy to learn)

运用最小均方误差方法实现波束形成，包括均匀直线阵和平面阵(Using the minimum mean square error method to achieve beamforming, including the uniform linear array and planar array.)

induction motor simulation for performing modern control and other controllers