matlab-gui

DNN identifier with sigmoidal functions

这是一个MATLAB人机交互界面程序设计方案，可以初步学习基于MATLAB的GUI设计，不可多得的好程序。(This is a MATLAB program man-machine interface design, can initially learn MATLAB-based GUI design, the rare good program.)

A set of functions to crop polygons or compute are of polygons intersection.

This powerful code helps you determine the static voltage stability of a power system. The code is really useful for power engineers.Also it can determine the optimal location of a DG to improve the voltage stability limit of power system.

可以根据已有身高体重数据，基本判别数据来源的性别(Height and weight according to existing data, the basic data sources of gender discrimination)

实现Multiple Kernels for Image Classification的算法(Realization of Multiple Kernels for Image Classification Algorithm)

说明：  支持向量机（SVM）是非常强大、灵活的有监督学习算法，既可以用于分类，也可用于回归。简单支持向量机(Support vector machine (SVM) is a very powerful and flexible supervised learning algorithm, which can be used for both classification and regression. Simple support vector machine)

本文算法是将24 位真彩图的亮度分量分块 DCT ,然后利用DCT 量化系数的奇偶特性嵌入8 位灰度水印图,并通过PN 序列加密来保证水印的 安全性。算法中,将灰度图像转换为二进制数据 流,置乱后扩频调制,隐藏在宿主DCT 系数量化值 中,提取时不需要宿主信号,实现水印信号的盲提 取。(This algorithm is 24-bit true color pictures of the luminance component of block DCT, quantization DCT coefficients and then use the parity properties of 8-bit grayscale watermark embedding map, and through the PN sequence of encryption to ensure the security of the watermark. Algorithm, the gray image into binary data stream, scrambling after the spread spectrum modulation, hidden in the host DCT coefficient quantization values, the extraction does not require the host signal, the blind watermark extraction.)

说明：  在matlab编程中读入grd文件，绘制三维或者二维等值线图(grd)

Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection